{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7f9bf3a7",
   "metadata": {},
   "source": [
    "# plot a map for political leanings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2097b311",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:35:55.222791Z",
     "start_time": "2025-02-22T00:35:53.009683Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Intel MKL WARNING: Support of Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) enabled only processors has been deprecated. Intel oneAPI Math Kernel Library 2025.0 will require Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.\n",
      "Intel MKL WARNING: Support of Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) enabled only processors has been deprecated. Intel oneAPI Math Kernel Library 2025.0 will require Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.colors import ListedColormap\n",
    "import geopandas as gpd\n",
    "import matplotlib.patches as mpatches\n",
    "\n",
    "import networkx as nx\n",
    "from collections import Counter\n",
    "import numpy as np\n",
    "import statsmodels.formula.api as smf\n",
    "import scipy.stats as stats\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a25be1c9",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:05.194632Z",
     "start_time": "2025-02-22T00:35:55.224721Z"
    }
   },
   "outputs": [],
   "source": [
    "# Load the US counties shapefile\n",
    "counties = gpd.read_file('.../tl_2020_us_county.shp')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f2042c82",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:05.199074Z",
     "start_time": "2025-02-22T00:36:05.195849Z"
    }
   },
   "outputs": [],
   "source": [
    "GEO_ID_int = [int(i) for i in list(counties['GEOID'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "722a2396",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:05.206106Z",
     "start_time": "2025-02-22T00:36:05.202257Z"
    }
   },
   "outputs": [],
   "source": [
    "# add a new column for matching \n",
    "counties['GEO_ID_int'] = GEO_ID_int"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2a04d3d3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:05.209841Z",
     "start_time": "2025-02-22T00:36:05.207884Z"
    }
   },
   "outputs": [],
   "source": [
    "# create a color dict "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3b4f3f2a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:05.223573Z",
     "start_time": "2025-02-22T00:36:05.211455Z"
    }
   },
   "outputs": [],
   "source": [
    "visits_nx = pd.read_csv('.../tract_to_tract_data_county_info.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "5277114a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:05.228625Z",
     "start_time": "2025-02-22T00:36:05.225257Z"
    }
   },
   "outputs": [],
   "source": [
    "# assign political leanings to origin counties \n",
    "vote_percent_difference_o_color = []\n",
    "for i in visits_nx['vote_percent_difference_o']:\n",
    "    if i < -0.03:\n",
    "        vote_percent_difference_o_color.append('mediumblue')\n",
    "    elif -0.03 <= i <= 0.03:\n",
    "        vote_percent_difference_o_color.append('purple')\n",
    "    else:\n",
    "        vote_percent_difference_o_color.append('firebrick')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "cca0025e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:05.232860Z",
     "start_time": "2025-02-22T00:36:05.229969Z"
    }
   },
   "outputs": [],
   "source": [
    "visits_nx['vote_percent_difference_o_color'] = vote_percent_difference_o_color"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "bdefb490",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:05.237575Z",
     "start_time": "2025-02-22T00:36:05.234952Z"
    }
   },
   "outputs": [],
   "source": [
    "o_color_dict = dict(zip(visits_nx['GEOIDo_str_county'], visits_nx['vote_percent_difference_o_color']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "aad39561",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:05.246639Z",
     "start_time": "2025-02-22T00:36:05.241977Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "89"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# the number of origins\n",
    "len(o_color_dict.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "fd6e10a2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:05.259647Z",
     "start_time": "2025-02-22T00:36:05.248363Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GEOIDo_str_county</th>\n",
       "      <th>GEOIDd_str_county</th>\n",
       "      <th>trips</th>\n",
       "      <th>year</th>\n",
       "      <th>state_o</th>\n",
       "      <th>state_po_o</th>\n",
       "      <th>county_name_o</th>\n",
       "      <th>office</th>\n",
       "      <th>version</th>\n",
       "      <th>mode</th>\n",
       "      <th>vote_percent_difference_o</th>\n",
       "      <th>state_d</th>\n",
       "      <th>state_po_d</th>\n",
       "      <th>county_name_d</th>\n",
       "      <th>vote_percent_difference_d</th>\n",
       "      <th>vote_percent_difference_o_color</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4013</td>\n",
       "      <td>4021</td>\n",
       "      <td>270444</td>\n",
       "      <td>2020</td>\n",
       "      <td>ARIZONA</td>\n",
       "      <td>AZ</td>\n",
       "      <td>MARICOPA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.021811</td>\n",
       "      <td>ARIZONA</td>\n",
       "      <td>AZ</td>\n",
       "      <td>PINAL</td>\n",
       "      <td>0.172841</td>\n",
       "      <td>purple</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6001</td>\n",
       "      <td>6013</td>\n",
       "      <td>307500</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>CONTRA COSTA</td>\n",
       "      <td>-0.453297</td>\n",
       "      <td>mediumblue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6001</td>\n",
       "      <td>6041</td>\n",
       "      <td>31821</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>MARIN</td>\n",
       "      <td>-0.665315</td>\n",
       "      <td>mediumblue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6001</td>\n",
       "      <td>6075</td>\n",
       "      <td>590220</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>SAN FRANCISCO</td>\n",
       "      <td>-0.725368</td>\n",
       "      <td>mediumblue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6001</td>\n",
       "      <td>6081</td>\n",
       "      <td>275733</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>SAN MATEO</td>\n",
       "      <td>-0.576918</td>\n",
       "      <td>mediumblue</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   GEOIDo_str_county  GEOIDd_str_county   trips  year     state_o state_po_o  \\\n",
       "0               4013               4021  270444  2020     ARIZONA         AZ   \n",
       "1               6001               6013  307500  2020  CALIFORNIA         CA   \n",
       "2               6001               6041   31821  2020  CALIFORNIA         CA   \n",
       "3               6001               6075  590220  2020  CALIFORNIA         CA   \n",
       "4               6001               6081  275733  2020  CALIFORNIA         CA   \n",
       "\n",
       "  county_name_o        office   version mode  vote_percent_difference_o  \\\n",
       "0      MARICOPA  US PRESIDENT  20220315  all                  -0.021811   \n",
       "1       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "2       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "3       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "4       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "\n",
       "      state_d state_po_d  county_name_d  vote_percent_difference_d  \\\n",
       "0     ARIZONA         AZ          PINAL                   0.172841   \n",
       "1  CALIFORNIA         CA   CONTRA COSTA                  -0.453297   \n",
       "2  CALIFORNIA         CA          MARIN                  -0.665315   \n",
       "3  CALIFORNIA         CA  SAN FRANCISCO                  -0.725368   \n",
       "4  CALIFORNIA         CA      SAN MATEO                  -0.576918   \n",
       "\n",
       "  vote_percent_difference_o_color  \n",
       "0                          purple  \n",
       "1                      mediumblue  \n",
       "2                      mediumblue  \n",
       "3                      mediumblue  \n",
       "4                      mediumblue  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visits_nx.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f65d9d23",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:05.264732Z",
     "start_time": "2025-02-22T00:36:05.261427Z"
    }
   },
   "outputs": [],
   "source": [
    "count_origin_county = visits_nx[['GEOIDo_str_county', 'vote_percent_difference_o_color']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f59eccf7",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:05.270443Z",
     "start_time": "2025-02-22T00:36:05.266143Z"
    }
   },
   "outputs": [],
   "source": [
    "count_origin_county.drop_duplicates(inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "56d8c5ca",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:05.274229Z",
     "start_time": "2025-02-22T00:36:05.272117Z"
    }
   },
   "outputs": [],
   "source": [
    "#vote_percent_difference_o_color"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "a54920ec",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:05.281550Z",
     "start_time": "2025-02-22T00:36:05.275962Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "mediumblue    65\n",
       "firebrick     18\n",
       "purple         6\n",
       "Name: vote_percent_difference_o_color, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Ideological Composition of Origins\n",
    "count_origin_county['vote_percent_difference_o_color'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "d422f2bd",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:05.286737Z",
     "start_time": "2025-02-22T00:36:05.283666Z"
    }
   },
   "outputs": [],
   "source": [
    "# assign political leanings to destinations\n",
    "vote_percent_difference_d_color= []\n",
    "for i in visits_nx['vote_percent_difference_d']:\n",
    "    if i < -0.03:\n",
    "        vote_percent_difference_d_color.append('mediumblue')\n",
    "    elif -0.03 <= i <= 0.03:\n",
    "        vote_percent_difference_d_color.append('purple')\n",
    "    else:\n",
    "        vote_percent_difference_d_color.append('firebrick')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "2c10efd6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:05.290655Z",
     "start_time": "2025-02-22T00:36:05.288092Z"
    }
   },
   "outputs": [],
   "source": [
    "visits_nx['vote_percent_difference_d_color'] = vote_percent_difference_d_color"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "78c7bfab",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:05.294482Z",
     "start_time": "2025-02-22T00:36:05.292250Z"
    }
   },
   "outputs": [],
   "source": [
    "d_color_dict = dict(zip(visits_nx['GEOIDd_str_county'], visits_nx['vote_percent_difference_d_color']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "1693813a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:05.298345Z",
     "start_time": "2025-02-22T00:36:05.295822Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "428"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(d_color_dict.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "2099d51e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:05.301592Z",
     "start_time": "2025-02-22T00:36:05.299502Z"
    }
   },
   "outputs": [],
   "source": [
    "d_color_dict.update(o_color_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "53860cd0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:05.306143Z",
     "start_time": "2025-02-22T00:36:05.303338Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'firebrick'"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d_color_dict[4021]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "3a9394df",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:05.310462Z",
     "start_time": "2025-02-22T00:36:05.307456Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "471"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(d_color_dict.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "424c8bac",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:05.313442Z",
     "start_time": "2025-02-22T00:36:05.311755Z"
    }
   },
   "outputs": [],
   "source": [
    "#d_color_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "df8814bc",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:17.474698Z",
     "start_time": "2025-02-22T00:36:05.314870Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 471 counties are colored\n",
    "# the colors are mapped accurately based on the political leanings of counties(I checked CA and New Mexico)\n",
    "# Keep counties in the mainland \n",
    "mainland_states_fips = [f\"{i:02d}\" for i in range(1, 57) if i not in [2, 15, 60, 66, 69, 72, 78]]\n",
    "mainland_counties = counties[counties['STATEFP'].isin(mainland_states_fips)]\n",
    "\n",
    "# Assuming d_color_dict is defined somewhere in your code\n",
    "# mainland_counties['GEO_ID_int'] should be present in your dataframe and d_color_dict should be a dictionary\n",
    "mainland_counties['color'] = mainland_counties['GEO_ID_int'].map(d_color_dict).fillna('whitesmoke')\n",
    "\n",
    "# Define the colors and create a custom colormap\n",
    "colors = ['mediumblue', 'purple', 'firebrick', 'whitesmoke']\n",
    "cmap = ListedColormap(colors)\n",
    "\n",
    "# Map the color names to indices for the colormap\n",
    "color_mapping = {'mediumblue': 0, 'purple': 1, 'firebrick': 2, 'whitesmoke': 3}\n",
    "mainland_counties['color_code'] = mainland_counties['color'].map(color_mapping)\n",
    "\n",
    "# Plot the map\n",
    "fig, ax = plt.subplots(1, 1, figsize=(15, 10))\n",
    "mainland_counties.boundary.plot(ax=ax, linewidth=1)\n",
    "mainland_counties.plot(column='color_code', ax=ax, legend=True, cmap=cmap, edgecolor='black', categorical=True)\n",
    "\n",
    "# Customize the plot\n",
    "ax.set_axis_off()\n",
    "\n",
    "# Create custom legend\n",
    "legend_labels = {\n",
    "    0: 'Blue Counties',\n",
    "    1: 'Purple Counties',\n",
    "    2: 'Red Counties',\n",
    "    3: 'Counties without Information'\n",
    "}\n",
    "\n",
    "handles = [mpatches.Patch(color=colors[i], label=legend_labels[i]) for i in range(len(colors))]\n",
    "# bbox_to_anchor changes the position of the legend; the second value correponds to the vertical position\n",
    "ax.legend(handles=handles, loc='upper right', bbox_to_anchor=(1, 1.05))\n",
    "\n",
    "# Save the map as a PDF\n",
    "#plt.savefig('.../county_map_colors.pdf', format='pdf')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "raw",
   "id": "fe6ca81c",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "7f776c2a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:17.478304Z",
     "start_time": "2025-02-22T00:36:17.476043Z"
    }
   },
   "outputs": [],
   "source": [
    "# the political leanings of counties in CA and FL are correctly reflected by the map above \n",
    "#visits_nx[(visits_nx['state_o'] == 'CALIFORNIA') & (visits_nx['state_d'] == 'CALIFORNIA')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "87afe15d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:17.481349Z",
     "start_time": "2025-02-22T00:36:17.479471Z"
    }
   },
   "outputs": [],
   "source": [
    "#visits_nx[(visits_nx['state_o'] == 'FLORIDA') & (visits_nx['state_d'] == 'FLORIDA')]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e36368ed",
   "metadata": {},
   "source": [
    "# plot a map for political leaning strength"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "e3242fa5",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:17.484974Z",
     "start_time": "2025-02-22T00:36:17.482707Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.colors import ListedColormap\n",
    "import geopandas as gpd\n",
    "import matplotlib.patches as mpatches"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "39995bc3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:27.001589Z",
     "start_time": "2025-02-22T00:36:17.492880Z"
    }
   },
   "outputs": [],
   "source": [
    "# Load the US counties shapefile\n",
    "counties = gpd.read_file('.../tl_2020_us_county.shp')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "794a69c0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:27.006616Z",
     "start_time": "2025-02-22T00:36:27.002887Z"
    }
   },
   "outputs": [],
   "source": [
    "GEO_ID_int = [int(i) for i in list(counties['GEOID'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "67433764",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:27.011616Z",
     "start_time": "2025-02-22T00:36:27.008489Z"
    }
   },
   "outputs": [],
   "source": [
    "# add a new column for matching \n",
    "counties['GEO_ID_int'] = GEO_ID_int"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "3e8ab331",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:27.019604Z",
     "start_time": "2025-02-22T00:36:27.013188Z"
    }
   },
   "outputs": [],
   "source": [
    "# Keep counties in the mainland \n",
    "mainland_states_fips = [f\"{i:02d}\" for i in range(1, 57) if i not in [2, 15, 60, 66, 69, 72, 78]]\n",
    "mainland_counties = counties[counties['STATEFP'].isin(mainland_states_fips)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "333b7c26",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:27.037606Z",
     "start_time": "2025-02-22T00:36:27.020741Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>STATEFP</th>\n",
       "      <th>COUNTYFP</th>\n",
       "      <th>COUNTYNS</th>\n",
       "      <th>GEOID</th>\n",
       "      <th>NAME</th>\n",
       "      <th>NAMELSAD</th>\n",
       "      <th>LSAD</th>\n",
       "      <th>CLASSFP</th>\n",
       "      <th>MTFCC</th>\n",
       "      <th>CSAFP</th>\n",
       "      <th>CBSAFP</th>\n",
       "      <th>METDIVFP</th>\n",
       "      <th>FUNCSTAT</th>\n",
       "      <th>ALAND</th>\n",
       "      <th>AWATER</th>\n",
       "      <th>INTPTLAT</th>\n",
       "      <th>INTPTLON</th>\n",
       "      <th>geometry</th>\n",
       "      <th>GEO_ID_int</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>31</td>\n",
       "      <td>039</td>\n",
       "      <td>00835841</td>\n",
       "      <td>31039</td>\n",
       "      <td>Cuming</td>\n",
       "      <td>Cuming County</td>\n",
       "      <td>06</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>A</td>\n",
       "      <td>1477645345</td>\n",
       "      <td>10690204</td>\n",
       "      <td>+41.9158651</td>\n",
       "      <td>-096.7885168</td>\n",
       "      <td>POLYGON ((-97.01952 42.0041, -97.01952 42.0049...</td>\n",
       "      <td>31039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>53</td>\n",
       "      <td>069</td>\n",
       "      <td>01513275</td>\n",
       "      <td>53069</td>\n",
       "      <td>Wahkiakum</td>\n",
       "      <td>Wahkiakum County</td>\n",
       "      <td>06</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>A</td>\n",
       "      <td>680976231</td>\n",
       "      <td>61568965</td>\n",
       "      <td>+46.2946377</td>\n",
       "      <td>-123.4244583</td>\n",
       "      <td>POLYGON ((-123.43639 46.2382, -123.44759 46.24...</td>\n",
       "      <td>53069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>35</td>\n",
       "      <td>011</td>\n",
       "      <td>00933054</td>\n",
       "      <td>35011</td>\n",
       "      <td>De Baca</td>\n",
       "      <td>De Baca County</td>\n",
       "      <td>06</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>A</td>\n",
       "      <td>6016818946</td>\n",
       "      <td>29090018</td>\n",
       "      <td>+34.3592729</td>\n",
       "      <td>-104.3686961</td>\n",
       "      <td>POLYGON ((-104.56739 33.99757, -104.56772 33.9...</td>\n",
       "      <td>35011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>31</td>\n",
       "      <td>109</td>\n",
       "      <td>00835876</td>\n",
       "      <td>31109</td>\n",
       "      <td>Lancaster</td>\n",
       "      <td>Lancaster County</td>\n",
       "      <td>06</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>339</td>\n",
       "      <td>30700</td>\n",
       "      <td>None</td>\n",
       "      <td>A</td>\n",
       "      <td>2169272970</td>\n",
       "      <td>22847034</td>\n",
       "      <td>+40.7835474</td>\n",
       "      <td>-096.6886584</td>\n",
       "      <td>POLYGON ((-96.91075 40.78494, -96.91075 40.790...</td>\n",
       "      <td>31109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>31</td>\n",
       "      <td>129</td>\n",
       "      <td>00835886</td>\n",
       "      <td>31129</td>\n",
       "      <td>Nuckolls</td>\n",
       "      <td>Nuckolls County</td>\n",
       "      <td>06</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>A</td>\n",
       "      <td>1489645188</td>\n",
       "      <td>1718484</td>\n",
       "      <td>+40.1764918</td>\n",
       "      <td>-098.0468422</td>\n",
       "      <td>POLYGON ((-98.27367 40.0894, -98.27367 40.0894...</td>\n",
       "      <td>31129</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  STATEFP COUNTYFP  COUNTYNS  GEOID       NAME          NAMELSAD LSAD CLASSFP  \\\n",
       "0      31      039  00835841  31039     Cuming     Cuming County   06      H1   \n",
       "1      53      069  01513275  53069  Wahkiakum  Wahkiakum County   06      H1   \n",
       "2      35      011  00933054  35011    De Baca    De Baca County   06      H1   \n",
       "3      31      109  00835876  31109  Lancaster  Lancaster County   06      H1   \n",
       "4      31      129  00835886  31129   Nuckolls   Nuckolls County   06      H1   \n",
       "\n",
       "   MTFCC CSAFP CBSAFP METDIVFP FUNCSTAT       ALAND    AWATER     INTPTLAT  \\\n",
       "0  G4020  None   None     None        A  1477645345  10690204  +41.9158651   \n",
       "1  G4020  None   None     None        A   680976231  61568965  +46.2946377   \n",
       "2  G4020  None   None     None        A  6016818946  29090018  +34.3592729   \n",
       "3  G4020   339  30700     None        A  2169272970  22847034  +40.7835474   \n",
       "4  G4020  None   None     None        A  1489645188   1718484  +40.1764918   \n",
       "\n",
       "       INTPTLON                                           geometry  GEO_ID_int  \n",
       "0  -096.7885168  POLYGON ((-97.01952 42.0041, -97.01952 42.0049...       31039  \n",
       "1  -123.4244583  POLYGON ((-123.43639 46.2382, -123.44759 46.24...       53069  \n",
       "2  -104.3686961  POLYGON ((-104.56739 33.99757, -104.56772 33.9...       35011  \n",
       "3  -096.6886584  POLYGON ((-96.91075 40.78494, -96.91075 40.790...       31109  \n",
       "4  -098.0468422  POLYGON ((-98.27367 40.0894, -98.27367 40.0894...       31129  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mainland_counties.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "dd75f804",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:27.040918Z",
     "start_time": "2025-02-22T00:36:27.039088Z"
    }
   },
   "outputs": [],
   "source": [
    "# create a dict for political leaning strength "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "057a8178",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:27.048682Z",
     "start_time": "2025-02-22T00:36:27.042482Z"
    }
   },
   "outputs": [],
   "source": [
    "visits_nx = pd.read_csv('.../tract_to_tract_data_county_info.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "1c058827",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:27.060175Z",
     "start_time": "2025-02-22T00:36:27.050248Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GEOIDo_str_county</th>\n",
       "      <th>GEOIDd_str_county</th>\n",
       "      <th>trips</th>\n",
       "      <th>year</th>\n",
       "      <th>state_o</th>\n",
       "      <th>state_po_o</th>\n",
       "      <th>county_name_o</th>\n",
       "      <th>office</th>\n",
       "      <th>version</th>\n",
       "      <th>mode</th>\n",
       "      <th>vote_percent_difference_o</th>\n",
       "      <th>state_d</th>\n",
       "      <th>state_po_d</th>\n",
       "      <th>county_name_d</th>\n",
       "      <th>vote_percent_difference_d</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4013</td>\n",
       "      <td>4021</td>\n",
       "      <td>270444</td>\n",
       "      <td>2020</td>\n",
       "      <td>ARIZONA</td>\n",
       "      <td>AZ</td>\n",
       "      <td>MARICOPA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.021811</td>\n",
       "      <td>ARIZONA</td>\n",
       "      <td>AZ</td>\n",
       "      <td>PINAL</td>\n",
       "      <td>0.172841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6001</td>\n",
       "      <td>6013</td>\n",
       "      <td>307500</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>CONTRA COSTA</td>\n",
       "      <td>-0.453297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6001</td>\n",
       "      <td>6041</td>\n",
       "      <td>31821</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>MARIN</td>\n",
       "      <td>-0.665315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6001</td>\n",
       "      <td>6075</td>\n",
       "      <td>590220</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>SAN FRANCISCO</td>\n",
       "      <td>-0.725368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6001</td>\n",
       "      <td>6081</td>\n",
       "      <td>275733</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>SAN MATEO</td>\n",
       "      <td>-0.576918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6037</td>\n",
       "      <td>6059</td>\n",
       "      <td>2252844</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>LOS ANGELES</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.441650</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ORANGE</td>\n",
       "      <td>-0.090342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6059</td>\n",
       "      <td>6037</td>\n",
       "      <td>1360337</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ORANGE</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.090342</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>LOS ANGELES</td>\n",
       "      <td>-0.441650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>6065</td>\n",
       "      <td>6071</td>\n",
       "      <td>520733</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>RIVERSIDE</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.079422</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>SAN BERNARDINO</td>\n",
       "      <td>-0.106526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>6067</td>\n",
       "      <td>6017</td>\n",
       "      <td>48039</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>SACRAMENTO</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.252496</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>EL DORADO</td>\n",
       "      <td>0.087957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>6067</td>\n",
       "      <td>6061</td>\n",
       "      <td>270908</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>SACRAMENTO</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.252496</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>PLACER</td>\n",
       "      <td>0.066440</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   GEOIDo_str_county  GEOIDd_str_county    trips  year     state_o state_po_o  \\\n",
       "0               4013               4021   270444  2020     ARIZONA         AZ   \n",
       "1               6001               6013   307500  2020  CALIFORNIA         CA   \n",
       "2               6001               6041    31821  2020  CALIFORNIA         CA   \n",
       "3               6001               6075   590220  2020  CALIFORNIA         CA   \n",
       "4               6001               6081   275733  2020  CALIFORNIA         CA   \n",
       "5               6037               6059  2252844  2020  CALIFORNIA         CA   \n",
       "6               6059               6037  1360337  2020  CALIFORNIA         CA   \n",
       "7               6065               6071   520733  2020  CALIFORNIA         CA   \n",
       "8               6067               6017    48039  2020  CALIFORNIA         CA   \n",
       "9               6067               6061   270908  2020  CALIFORNIA         CA   \n",
       "\n",
       "  county_name_o        office   version mode  vote_percent_difference_o  \\\n",
       "0      MARICOPA  US PRESIDENT  20220315  all                  -0.021811   \n",
       "1       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "2       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "3       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "4       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "5   LOS ANGELES  US PRESIDENT  20220315  all                  -0.441650   \n",
       "6        ORANGE  US PRESIDENT  20220315  all                  -0.090342   \n",
       "7     RIVERSIDE  US PRESIDENT  20220315  all                  -0.079422   \n",
       "8    SACRAMENTO  US PRESIDENT  20220315  all                  -0.252496   \n",
       "9    SACRAMENTO  US PRESIDENT  20220315  all                  -0.252496   \n",
       "\n",
       "      state_d state_po_d   county_name_d  vote_percent_difference_d  \n",
       "0     ARIZONA         AZ           PINAL                   0.172841  \n",
       "1  CALIFORNIA         CA    CONTRA COSTA                  -0.453297  \n",
       "2  CALIFORNIA         CA           MARIN                  -0.665315  \n",
       "3  CALIFORNIA         CA   SAN FRANCISCO                  -0.725368  \n",
       "4  CALIFORNIA         CA       SAN MATEO                  -0.576918  \n",
       "5  CALIFORNIA         CA          ORANGE                  -0.090342  \n",
       "6  CALIFORNIA         CA     LOS ANGELES                  -0.441650  \n",
       "7  CALIFORNIA         CA  SAN BERNARDINO                  -0.106526  \n",
       "8  CALIFORNIA         CA       EL DORADO                   0.087957  \n",
       "9  CALIFORNIA         CA          PLACER                   0.066440  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visits_nx.iloc[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "d2b49a90",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:27.063735Z",
     "start_time": "2025-02-22T00:36:27.061476Z"
    }
   },
   "outputs": [],
   "source": [
    "vote_percent_difference_o_abs = abs(visits_nx['vote_percent_difference_o'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "00d33d8c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:27.067630Z",
     "start_time": "2025-02-22T00:36:27.065228Z"
    }
   },
   "outputs": [],
   "source": [
    "# a dict for political leaning strength\n",
    "o_stren_dict = dict(zip(visits_nx['GEOIDo_str_county'], vote_percent_difference_o_abs))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "002daff2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:27.073653Z",
     "start_time": "2025-02-22T00:36:27.069130Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "89"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(o_stren_dict.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "890d12cf",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:27.078064Z",
     "start_time": "2025-02-22T00:36:27.075833Z"
    }
   },
   "outputs": [],
   "source": [
    "vote_percent_difference_d_abs = abs(visits_nx['vote_percent_difference_d'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "ea4e7ee3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:27.081856Z",
     "start_time": "2025-02-22T00:36:27.079579Z"
    }
   },
   "outputs": [],
   "source": [
    "# a dict for political leaning strength\n",
    "d_stren_dict = dict(zip(visits_nx['GEOIDd_str_county'], vote_percent_difference_d_abs))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "2d9fef98",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:27.087060Z",
     "start_time": "2025-02-22T00:36:27.083586Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "428"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(d_stren_dict.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "aed85afc",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:27.090906Z",
     "start_time": "2025-02-22T00:36:27.088875Z"
    }
   },
   "outputs": [],
   "source": [
    "d_stren_dict.update(o_stren_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "5aead7b1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:27.095213Z",
     "start_time": "2025-02-22T00:36:27.092346Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.1728405073145415"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d_stren_dict[4021]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "eaa55f12",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:27.101779Z",
     "start_time": "2025-02-22T00:36:27.097407Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "471"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(d_stren_dict.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "eb0fa265",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:27.107858Z",
     "start_time": "2025-02-22T00:36:27.103304Z"
    }
   },
   "outputs": [],
   "source": [
    "mainland_counties['pol_leaning_stren'] = mainland_counties['GEO_ID_int'].map(d_stren_dict).fillna(999)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "57b02b76",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:27.112002Z",
     "start_time": "2025-02-22T00:36:27.109490Z"
    }
   },
   "outputs": [],
   "source": [
    "pol_leaning_stren_list  = list(mainland_counties['pol_leaning_stren'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "bcb54363",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:27.115143Z",
     "start_time": "2025-02-22T00:36:27.113288Z"
    }
   },
   "outputs": [],
   "source": [
    "#pol_leaning_stren_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "78f2c55f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:27.118602Z",
     "start_time": "2025-02-22T00:36:27.116739Z"
    }
   },
   "outputs": [],
   "source": [
    "#min(d_stren_dict.values())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "ea44374b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:27.124131Z",
     "start_time": "2025-02-22T00:36:27.120446Z"
    }
   },
   "outputs": [],
   "source": [
    "# assign colors based on the values of similarity\n",
    "# [0, 0.2) 'antiquewhite',[0.2, 0.4) 'wheat', [0.4, 0.6) 'sandybrown'\n",
    "# [0.6, 0.8)  'chocolate',[0.8, 1] 'sienna'   999 'whitesmoke'\n",
    "pol_leaning_stren_color = []\n",
    "for i in pol_leaning_stren_list:\n",
    "    if i == 999:\n",
    "        pol_leaning_stren_color.append('whitesmoke')\n",
    "    elif 0 <= i < 0.25 :\n",
    "        pol_leaning_stren_color.append('lightcyan')\n",
    "    elif 0.25 <= i < 0.5:\n",
    "        pol_leaning_stren_color.append('paleturquoise')\n",
    "    elif 0.5<= i < 0.75:\n",
    "        pol_leaning_stren_color.append('lightseagreen')\n",
    "    elif 0.75 <= i <= 1:\n",
    "        pol_leaning_stren_color.append('teal')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "ec9f7b8f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:27.128231Z",
     "start_time": "2025-02-22T00:36:27.125497Z"
    }
   },
   "outputs": [],
   "source": [
    "mainland_counties['pol_leaning_stren_color'] = pol_leaning_stren_color"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "b3723d48",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:27.131969Z",
     "start_time": "2025-02-22T00:36:27.129557Z"
    }
   },
   "outputs": [],
   "source": [
    "#colors = ['antiquewhite', 'wheat', 'sandybrown', 'chocolate', 'tomato', 'red']\n",
    "colors = ['lightcyan','paleturquoise', 'lightseagreen', 'teal', 'whitesmoke']\n",
    "cmap = ListedColormap(colors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "4f7197ad",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:27.140780Z",
     "start_time": "2025-02-22T00:36:27.133823Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/html": [
       "<div style=\"vertical-align: middle;\"><strong>from_list</strong> </div><div class=\"cmap\"><img alt=\"from_list colormap\" title=\"from_list\" style=\"border: 1px solid #555;\" src=\"data:image/png;base64,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\"></div><div style=\"vertical-align: middle; max-width: 514px; display: flex; justify-content: space-between;\"><div style=\"float: left;\"><div title=\"#e0ffffff\" style=\"display: inline-block; width: 1em; height: 1em; margin: 0; vertical-align: middle; border: 1px solid #555; background-color: #e0ffffff;\"></div> under</div><div style=\"margin: 0 auto; display: inline-block;\">bad <div title=\"#00000000\" style=\"display: inline-block; width: 1em; height: 1em; margin: 0; vertical-align: middle; border: 1px solid #555; background-color: #00000000;\"></div></div><div style=\"float: right;\">over <div title=\"#f5f5f5ff\" style=\"display: inline-block; width: 1em; height: 1em; margin: 0; vertical-align: middle; border: 1px solid #555; background-color: #f5f5f5ff;\"></div></div>"
      ],
      "text/plain": [
       "<matplotlib.colors.ListedColormap at 0x7fc3c3202e20>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cmap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "946a72f7",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:27.146498Z",
     "start_time": "2025-02-22T00:36:27.142409Z"
    }
   },
   "outputs": [],
   "source": [
    "# Map the color names to indices for the colormap\n",
    "color_mapping = {'lightcyan': 0, 'paleturquoise': 1, 'lightseagreen': 2, 'teal': 3, 'whitesmoke':4}\n",
    "mainland_counties['color_code'] = mainland_counties['pol_leaning_stren_color'].map(color_mapping)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "15447dbe",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:39.233574Z",
     "start_time": "2025-02-22T00:36:27.148079Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(15, 10))\n",
    "mainland_counties.boundary.plot(ax=ax, linewidth=1)\n",
    "mainland_counties.plot(column='color_code', ax=ax, cmap=cmap, edgecolor='black', categorical=True)\n",
    "\n",
    "colors_2 = ['lightcyan', 'paleturquoise', 'lightseagreen', 'teal']\n",
    "#colors_2.reverse()\n",
    "cmap_2= ListedColormap(colors_2)\n",
    "\n",
    "# Add color bar\n",
    "sm = plt.cm.ScalarMappable(cmap=cmap_2, norm=plt.Normalize(vmin=0, vmax=4))\n",
    "\n",
    "# Create a new axes object for the color bar\n",
    "cax = fig.add_axes([0.8, 0.21, 0.02, 0.3])  # Adjust the position and size here (left, bottom, width, height)\n",
    "cbar = fig.colorbar(sm, cax=cax, orientation='vertical') # , fraction=0.01, pad=0.01\n",
    "cbar.ax.get_yaxis().set_ticks([])\n",
    "\n",
    "# Customize the plot\n",
    "ax.set_axis_off()\n",
    "\n",
    "# Save the map as a PDF\n",
    "#plt.savefig('.../county_map_pol_leaning_stren.pdf', format='pdf')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "6dcded19",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:39.237120Z",
     "start_time": "2025-02-22T00:36:39.235043Z"
    }
   },
   "outputs": [],
   "source": [
    "# I checked political leaning strenght in CA. They matched with what the figure presented. \n",
    "#visits_nx[visits_nx['state_o'] == 'CALIFORNIA']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3cbe18d2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "7d045338",
   "metadata": {},
   "source": [
    "# plot a map for polarization index"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98ffcacc",
   "metadata": {},
   "source": [
    "## get polarization index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "8f69b83f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:39.245394Z",
     "start_time": "2025-02-22T00:36:39.238604Z"
    }
   },
   "outputs": [],
   "source": [
    "visits_nx = pd.read_csv('.../tract_to_tract_data_county_info_color.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "bad0d1af",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:39.259730Z",
     "start_time": "2025-02-22T00:36:39.250383Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GEOIDo_str_county</th>\n",
       "      <th>GEOIDd_str_county</th>\n",
       "      <th>trips</th>\n",
       "      <th>year</th>\n",
       "      <th>state_o</th>\n",
       "      <th>state_po_o</th>\n",
       "      <th>county_name_o</th>\n",
       "      <th>office</th>\n",
       "      <th>version</th>\n",
       "      <th>mode</th>\n",
       "      <th>vote_percent_difference_o</th>\n",
       "      <th>state_d</th>\n",
       "      <th>state_po_d</th>\n",
       "      <th>county_name_d</th>\n",
       "      <th>vote_percent_difference_d</th>\n",
       "      <th>vote_percent_difference_o_color</th>\n",
       "      <th>vote_percent_difference_d_color</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4013</td>\n",
       "      <td>4021</td>\n",
       "      <td>270444</td>\n",
       "      <td>2020</td>\n",
       "      <td>ARIZONA</td>\n",
       "      <td>AZ</td>\n",
       "      <td>MARICOPA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.021811</td>\n",
       "      <td>ARIZONA</td>\n",
       "      <td>AZ</td>\n",
       "      <td>PINAL</td>\n",
       "      <td>0.172841</td>\n",
       "      <td>purple</td>\n",
       "      <td>firebrick</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6001</td>\n",
       "      <td>6013</td>\n",
       "      <td>307500</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>CONTRA COSTA</td>\n",
       "      <td>-0.453297</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6001</td>\n",
       "      <td>6041</td>\n",
       "      <td>31821</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>MARIN</td>\n",
       "      <td>-0.665315</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6001</td>\n",
       "      <td>6075</td>\n",
       "      <td>590220</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>SAN FRANCISCO</td>\n",
       "      <td>-0.725368</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6001</td>\n",
       "      <td>6081</td>\n",
       "      <td>275733</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>SAN MATEO</td>\n",
       "      <td>-0.576918</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   GEOIDo_str_county  GEOIDd_str_county   trips  year     state_o state_po_o  \\\n",
       "0               4013               4021  270444  2020     ARIZONA         AZ   \n",
       "1               6001               6013  307500  2020  CALIFORNIA         CA   \n",
       "2               6001               6041   31821  2020  CALIFORNIA         CA   \n",
       "3               6001               6075  590220  2020  CALIFORNIA         CA   \n",
       "4               6001               6081  275733  2020  CALIFORNIA         CA   \n",
       "\n",
       "  county_name_o        office   version mode  vote_percent_difference_o  \\\n",
       "0      MARICOPA  US PRESIDENT  20220315  all                  -0.021811   \n",
       "1       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "2       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "3       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "4       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "\n",
       "      state_d state_po_d  county_name_d  vote_percent_difference_d  \\\n",
       "0     ARIZONA         AZ          PINAL                   0.172841   \n",
       "1  CALIFORNIA         CA   CONTRA COSTA                  -0.453297   \n",
       "2  CALIFORNIA         CA          MARIN                  -0.665315   \n",
       "3  CALIFORNIA         CA  SAN FRANCISCO                  -0.725368   \n",
       "4  CALIFORNIA         CA      SAN MATEO                  -0.576918   \n",
       "\n",
       "  vote_percent_difference_o_color vote_percent_difference_d_color  \n",
       "0                          purple                       firebrick  \n",
       "1                      mediumblue                      mediumblue  \n",
       "2                      mediumblue                      mediumblue  \n",
       "3                      mediumblue                      mediumblue  \n",
       "4                      mediumblue                      mediumblue  "
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visits_nx.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "aa9b402d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:39.263524Z",
     "start_time": "2025-02-22T00:36:39.261358Z"
    }
   },
   "outputs": [],
   "source": [
    "#visits_nx[visits_nx['GEOIDo_str_county'] == 39045]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "3b1e579c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:39.267083Z",
     "start_time": "2025-02-22T00:36:39.265206Z"
    }
   },
   "outputs": [],
   "source": [
    "#visits_nx[visits_nx['republican_vote_share_o_color'] != 'purple']['GEOIDo_str_county']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "554a0b98",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:39.272169Z",
     "start_time": "2025-02-22T00:36:39.268670Z"
    }
   },
   "outputs": [],
   "source": [
    "# remove purple counties as origins \n",
    "county_origins = list(visits_nx[visits_nx['vote_percent_difference_o_color'] != 'purple']['GEOIDo_str_county'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "954a622a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:39.276070Z",
     "start_time": "2025-02-22T00:36:39.273789Z"
    }
   },
   "outputs": [],
   "source": [
    "county_list = list(set(county_origins))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "d2718360",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:39.280504Z",
     "start_time": "2025-02-22T00:36:39.277578Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "83"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# the number of counties as origins \n",
    "len(county_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "d5098991",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:39.285621Z",
     "start_time": "2025-02-22T00:36:39.282366Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[22033, 42003, 48157, 51760, 26163]"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "county_list[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "1b502c2b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:39.363195Z",
     "start_time": "2025-02-22T00:36:39.287284Z"
    }
   },
   "outputs": [],
   "source": [
    "# calculate polarization index\n",
    "pol_index = {}\n",
    "for county_fips in county_list:\n",
    "    county_df = visits_nx[visits_nx['GEOIDo_str_county'] == county_fips]\n",
    "    county_color = list(county_df['vote_percent_difference_o_color'])[0]\n",
    "    # get the color of an opposing county \n",
    "    if county_color == 'mediumblue':\n",
    "        oppose_county_color = 'firebrick'\n",
    "    else:\n",
    "        oppose_county_color = 'mediumblue'\n",
    "    # sum the trips to politically dissimilar counties; the output is 0 if there is no trips to opposing counties\n",
    "    trip_oppo_sum = county_df[county_df['vote_percent_difference_d_color'] == oppose_county_color]['trips'].sum()\n",
    "    trip_simi_sum = county_df[county_df['vote_percent_difference_d_color'] == county_color]['trips'].sum()\n",
    "   # calculate political similarity; keep four decimals\n",
    "    idx = round((trip_simi_sum - trip_oppo_sum) / (trip_oppo_sum + trip_simi_sum), 4)\n",
    "    pol_index[county_fips] = idx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "b13572ad",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:39.367060Z",
     "start_time": "2025-02-22T00:36:39.364701Z"
    }
   },
   "outputs": [],
   "source": [
    "# shift + M  merge multiple code blocks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "a326e19b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:39.372412Z",
     "start_time": "2025-02-22T00:36:39.369304Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.868"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pol_index[22033]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "95c693f3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:39.377216Z",
     "start_time": "2025-02-22T00:36:39.373966Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.2747"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pol_index[26163]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e52c531",
   "metadata": {},
   "source": [
    "## plot "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "7a38ce2a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:39.381466Z",
     "start_time": "2025-02-22T00:36:39.379022Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.colors import ListedColormap\n",
    "import geopandas as gpd\n",
    "import matplotlib.patches as mpatches"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "55ffb0f1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:49.151316Z",
     "start_time": "2025-02-22T00:36:39.382753Z"
    }
   },
   "outputs": [],
   "source": [
    "# Load the US counties shapefile\n",
    "counties = gpd.read_file('.../tl_2020_us_county.shp')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "673e7729",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:49.155759Z",
     "start_time": "2025-02-22T00:36:49.152717Z"
    }
   },
   "outputs": [],
   "source": [
    "GEO_ID_int = [int(i) for i in list(counties['GEOID'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "4a043a95",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:49.161043Z",
     "start_time": "2025-02-22T00:36:49.157790Z"
    }
   },
   "outputs": [],
   "source": [
    "# add a new column for matching; county fips code in my data are integers\n",
    "counties['GEO_ID_int'] = GEO_ID_int"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "6641f777",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:49.169013Z",
     "start_time": "2025-02-22T00:36:49.162395Z"
    }
   },
   "outputs": [],
   "source": [
    "# Keep counties in the mainland \n",
    "mainland_states_fips = [f\"{i:02d}\" for i in range(1, 57) if i not in [2, 15, 60, 66, 69, 72, 78]]\n",
    "mainland_counties = counties[counties['STATEFP'].isin(mainland_states_fips)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "d6696ca7",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:49.186428Z",
     "start_time": "2025-02-22T00:36:49.170541Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>STATEFP</th>\n",
       "      <th>COUNTYFP</th>\n",
       "      <th>COUNTYNS</th>\n",
       "      <th>GEOID</th>\n",
       "      <th>NAME</th>\n",
       "      <th>NAMELSAD</th>\n",
       "      <th>LSAD</th>\n",
       "      <th>CLASSFP</th>\n",
       "      <th>MTFCC</th>\n",
       "      <th>CSAFP</th>\n",
       "      <th>CBSAFP</th>\n",
       "      <th>METDIVFP</th>\n",
       "      <th>FUNCSTAT</th>\n",
       "      <th>ALAND</th>\n",
       "      <th>AWATER</th>\n",
       "      <th>INTPTLAT</th>\n",
       "      <th>INTPTLON</th>\n",
       "      <th>geometry</th>\n",
       "      <th>GEO_ID_int</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>31</td>\n",
       "      <td>039</td>\n",
       "      <td>00835841</td>\n",
       "      <td>31039</td>\n",
       "      <td>Cuming</td>\n",
       "      <td>Cuming County</td>\n",
       "      <td>06</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>A</td>\n",
       "      <td>1477645345</td>\n",
       "      <td>10690204</td>\n",
       "      <td>+41.9158651</td>\n",
       "      <td>-096.7885168</td>\n",
       "      <td>POLYGON ((-97.01952 42.0041, -97.01952 42.0049...</td>\n",
       "      <td>31039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>53</td>\n",
       "      <td>069</td>\n",
       "      <td>01513275</td>\n",
       "      <td>53069</td>\n",
       "      <td>Wahkiakum</td>\n",
       "      <td>Wahkiakum County</td>\n",
       "      <td>06</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>A</td>\n",
       "      <td>680976231</td>\n",
       "      <td>61568965</td>\n",
       "      <td>+46.2946377</td>\n",
       "      <td>-123.4244583</td>\n",
       "      <td>POLYGON ((-123.43639 46.2382, -123.44759 46.24...</td>\n",
       "      <td>53069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>35</td>\n",
       "      <td>011</td>\n",
       "      <td>00933054</td>\n",
       "      <td>35011</td>\n",
       "      <td>De Baca</td>\n",
       "      <td>De Baca County</td>\n",
       "      <td>06</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>A</td>\n",
       "      <td>6016818946</td>\n",
       "      <td>29090018</td>\n",
       "      <td>+34.3592729</td>\n",
       "      <td>-104.3686961</td>\n",
       "      <td>POLYGON ((-104.56739 33.99757, -104.56772 33.9...</td>\n",
       "      <td>35011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>31</td>\n",
       "      <td>109</td>\n",
       "      <td>00835876</td>\n",
       "      <td>31109</td>\n",
       "      <td>Lancaster</td>\n",
       "      <td>Lancaster County</td>\n",
       "      <td>06</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>339</td>\n",
       "      <td>30700</td>\n",
       "      <td>None</td>\n",
       "      <td>A</td>\n",
       "      <td>2169272970</td>\n",
       "      <td>22847034</td>\n",
       "      <td>+40.7835474</td>\n",
       "      <td>-096.6886584</td>\n",
       "      <td>POLYGON ((-96.91075 40.78494, -96.91075 40.790...</td>\n",
       "      <td>31109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>31</td>\n",
       "      <td>129</td>\n",
       "      <td>00835886</td>\n",
       "      <td>31129</td>\n",
       "      <td>Nuckolls</td>\n",
       "      <td>Nuckolls County</td>\n",
       "      <td>06</td>\n",
       "      <td>H1</td>\n",
       "      <td>G4020</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>A</td>\n",
       "      <td>1489645188</td>\n",
       "      <td>1718484</td>\n",
       "      <td>+40.1764918</td>\n",
       "      <td>-098.0468422</td>\n",
       "      <td>POLYGON ((-98.27367 40.0894, -98.27367 40.0894...</td>\n",
       "      <td>31129</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  STATEFP COUNTYFP  COUNTYNS  GEOID       NAME          NAMELSAD LSAD CLASSFP  \\\n",
       "0      31      039  00835841  31039     Cuming     Cuming County   06      H1   \n",
       "1      53      069  01513275  53069  Wahkiakum  Wahkiakum County   06      H1   \n",
       "2      35      011  00933054  35011    De Baca    De Baca County   06      H1   \n",
       "3      31      109  00835876  31109  Lancaster  Lancaster County   06      H1   \n",
       "4      31      129  00835886  31129   Nuckolls   Nuckolls County   06      H1   \n",
       "\n",
       "   MTFCC CSAFP CBSAFP METDIVFP FUNCSTAT       ALAND    AWATER     INTPTLAT  \\\n",
       "0  G4020  None   None     None        A  1477645345  10690204  +41.9158651   \n",
       "1  G4020  None   None     None        A   680976231  61568965  +46.2946377   \n",
       "2  G4020  None   None     None        A  6016818946  29090018  +34.3592729   \n",
       "3  G4020   339  30700     None        A  2169272970  22847034  +40.7835474   \n",
       "4  G4020  None   None     None        A  1489645188   1718484  +40.1764918   \n",
       "\n",
       "       INTPTLON                                           geometry  GEO_ID_int  \n",
       "0  -096.7885168  POLYGON ((-97.01952 42.0041, -97.01952 42.0049...       31039  \n",
       "1  -123.4244583  POLYGON ((-123.43639 46.2382, -123.44759 46.24...       53069  \n",
       "2  -104.3686961  POLYGON ((-104.56739 33.99757, -104.56772 33.9...       35011  \n",
       "3  -096.6886584  POLYGON ((-96.91075 40.78494, -96.91075 40.790...       31109  \n",
       "4  -098.0468422  POLYGON ((-98.27367 40.0894, -98.27367 40.0894...       31129  "
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mainland_counties.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "36f3712b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:49.192034Z",
     "start_time": "2025-02-22T00:36:49.188254Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# run 3.1 to get pol_index\n",
    "mainland_counties['pol_index'] = mainland_counties['GEO_ID_int'].map(pol_index).fillna(999)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "a71d11ac",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:49.195943Z",
     "start_time": "2025-02-22T00:36:49.193899Z"
    }
   },
   "outputs": [],
   "source": [
    "#len(dis_similarity.values())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "a32a521e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:49.199297Z",
     "start_time": "2025-02-22T00:36:49.197444Z"
    }
   },
   "outputs": [],
   "source": [
    "#mainland_counties[mainland_counties['similarity'] != 999]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "d22066ac",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:49.203446Z",
     "start_time": "2025-02-22T00:36:49.200944Z"
    }
   },
   "outputs": [],
   "source": [
    "pol_index_list  = list(mainland_counties['pol_index'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "490fe675",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:49.208907Z",
     "start_time": "2025-02-22T00:36:49.204957Z"
    }
   },
   "outputs": [],
   "source": [
    "# assign colors based on the values of similarity\n",
    "# [0, 0.2) 'antiquewhite',[0.2, 0.4) 'wheat', [0.4, 0.6) 'sandybrown'\n",
    "# [0.6, 0.8)  'chocolate',[0.8, 1] 'sienna'   999 'whitesmoke'\n",
    "pol_index_color = []\n",
    "for i in pol_index_list:\n",
    "    if i == 999:\n",
    "        pol_index_color.append('whitesmoke')\n",
    "    elif -1 <= i < -0.6 :\n",
    "        pol_index_color.append('moccasin')\n",
    "    elif -0.6 <= i < -0.2:\n",
    "        pol_index_color.append('wheat')\n",
    "    elif -0.2<= i < 0.2:\n",
    "        pol_index_color.append('sandybrown')\n",
    "    elif 0.2 <= i < 0.6:\n",
    "        pol_index_color.append('chocolate')\n",
    "    elif 0.6<= i <= 1:\n",
    "        pol_index_color.append('sienna')\n",
    "# [ 'moccasin','wheat', 'sandybrown', 'chocolate', 'sienna', 'whitesmoke']\n",
    "# move tomato red to the top "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "3d9adee0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:49.213526Z",
     "start_time": "2025-02-22T00:36:49.210842Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "mainland_counties['pol_index_color'] = pol_index_color"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "6b1b645b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:49.217273Z",
     "start_time": "2025-02-22T00:36:49.214979Z"
    }
   },
   "outputs": [],
   "source": [
    "#colors = ['antiquewhite', 'wheat', 'sandybrown', 'chocolate', 'tomato', 'red']\n",
    "colors = [ 'moccasin','wheat', 'sandybrown', 'chocolate', 'sienna', 'whitesmoke']\n",
    "cmap = ListedColormap(colors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "d51f5259",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:49.241755Z",
     "start_time": "2025-02-22T00:36:49.235055Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/html": [
       "<div style=\"vertical-align: middle;\"><strong>from_list</strong> </div><div class=\"cmap\"><img alt=\"from_list colormap\" title=\"from_list\" style=\"border: 1px solid #555;\" src=\"data:image/png;base64,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\"></div><div style=\"vertical-align: middle; max-width: 514px; display: flex; justify-content: space-between;\"><div style=\"float: left;\"><div title=\"#ffe4b5ff\" style=\"display: inline-block; width: 1em; height: 1em; margin: 0; vertical-align: middle; border: 1px solid #555; background-color: #ffe4b5ff;\"></div> under</div><div style=\"margin: 0 auto; display: inline-block;\">bad <div title=\"#00000000\" style=\"display: inline-block; width: 1em; height: 1em; margin: 0; vertical-align: middle; border: 1px solid #555; background-color: #00000000;\"></div></div><div style=\"float: right;\">over <div title=\"#f5f5f5ff\" style=\"display: inline-block; width: 1em; height: 1em; margin: 0; vertical-align: middle; border: 1px solid #555; background-color: #f5f5f5ff;\"></div></div>"
      ],
      "text/plain": [
       "<matplotlib.colors.ListedColormap at 0x7fc3c2e29c10>"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cmap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "138cd928",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:36:49.247892Z",
     "start_time": "2025-02-22T00:36:49.243595Z"
    }
   },
   "outputs": [],
   "source": [
    "# Map the color names to indices for the colormap\n",
    "color_mapping = {'moccasin': 0, 'wheat': 1, 'sandybrown': 2, 'chocolate': 3, 'sienna': 4, 'whitesmoke':5}\n",
    "mainland_counties['color_code'] = mainland_counties['pol_index_color'].map(color_mapping)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "9b698fcb",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.104261Z",
     "start_time": "2025-02-22T00:36:49.249272Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(15, 10))\n",
    "mainland_counties.boundary.plot(ax=ax, linewidth=1)\n",
    "mainland_counties.plot(column='color_code', ax=ax, cmap=cmap, edgecolor='black', categorical=True)\n",
    "\n",
    "colors_2 = ['moccasin', 'wheat', 'sandybrown', 'chocolate', 'sienna']\n",
    "#colors_2.reverse()\n",
    "cmap_2= ListedColormap(colors_2)\n",
    "\n",
    "# Add color bar\n",
    "sm = plt.cm.ScalarMappable(cmap=cmap_2, norm=plt.Normalize(vmin=0, vmax=4))\n",
    "\n",
    "# Create a new axes object for the color bar\n",
    "cax = fig.add_axes([0.8, 0.21, 0.02, 0.3])  # Adjust the position and size here (left, bottom, width, height)\n",
    "cbar = fig.colorbar(sm, cax=cax, orientation='vertical') # , fraction=0.01, pad=0.01\n",
    "cbar.ax.get_yaxis().set_ticks([])\n",
    "\n",
    "# Customize the plot\n",
    "ax.set_axis_off()\n",
    "\n",
    "# Save the map as a PDF\n",
    "#plt.savefig('.../county_map_pol_index.pdf', format='pdf')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "213b6921",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.107861Z",
     "start_time": "2025-02-22T00:37:01.105728Z"
    }
   },
   "outputs": [],
   "source": [
    "# I checked CA and florida. The figure above plotted the pol index of the counties \n",
    "# in the two states correctly. \n",
    "#visits_nx[visits_nx['state_o'] == 'FLORIDA']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7fd2b656",
   "metadata": {},
   "source": [
    "# plot sankey diagram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "3db16017",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.115655Z",
     "start_time": "2025-02-22T00:37:01.109227Z"
    }
   },
   "outputs": [],
   "source": [
    "visits_nx = pd.read_csv('.../tract_to_tract_data_county_info_color.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "d1a5cd72",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.126073Z",
     "start_time": "2025-02-22T00:37:01.117017Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GEOIDo_str_county</th>\n",
       "      <th>GEOIDd_str_county</th>\n",
       "      <th>trips</th>\n",
       "      <th>year</th>\n",
       "      <th>state_o</th>\n",
       "      <th>state_po_o</th>\n",
       "      <th>county_name_o</th>\n",
       "      <th>office</th>\n",
       "      <th>version</th>\n",
       "      <th>mode</th>\n",
       "      <th>vote_percent_difference_o</th>\n",
       "      <th>state_d</th>\n",
       "      <th>state_po_d</th>\n",
       "      <th>county_name_d</th>\n",
       "      <th>vote_percent_difference_d</th>\n",
       "      <th>vote_percent_difference_o_color</th>\n",
       "      <th>vote_percent_difference_d_color</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4013</td>\n",
       "      <td>4021</td>\n",
       "      <td>270444</td>\n",
       "      <td>2020</td>\n",
       "      <td>ARIZONA</td>\n",
       "      <td>AZ</td>\n",
       "      <td>MARICOPA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.021811</td>\n",
       "      <td>ARIZONA</td>\n",
       "      <td>AZ</td>\n",
       "      <td>PINAL</td>\n",
       "      <td>0.172841</td>\n",
       "      <td>purple</td>\n",
       "      <td>firebrick</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6001</td>\n",
       "      <td>6013</td>\n",
       "      <td>307500</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>CONTRA COSTA</td>\n",
       "      <td>-0.453297</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6001</td>\n",
       "      <td>6041</td>\n",
       "      <td>31821</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>MARIN</td>\n",
       "      <td>-0.665315</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6001</td>\n",
       "      <td>6075</td>\n",
       "      <td>590220</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>SAN FRANCISCO</td>\n",
       "      <td>-0.725368</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6001</td>\n",
       "      <td>6081</td>\n",
       "      <td>275733</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>SAN MATEO</td>\n",
       "      <td>-0.576918</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   GEOIDo_str_county  GEOIDd_str_county   trips  year     state_o state_po_o  \\\n",
       "0               4013               4021  270444  2020     ARIZONA         AZ   \n",
       "1               6001               6013  307500  2020  CALIFORNIA         CA   \n",
       "2               6001               6041   31821  2020  CALIFORNIA         CA   \n",
       "3               6001               6075  590220  2020  CALIFORNIA         CA   \n",
       "4               6001               6081  275733  2020  CALIFORNIA         CA   \n",
       "\n",
       "  county_name_o        office   version mode  vote_percent_difference_o  \\\n",
       "0      MARICOPA  US PRESIDENT  20220315  all                  -0.021811   \n",
       "1       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "2       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "3       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "4       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "\n",
       "      state_d state_po_d  county_name_d  vote_percent_difference_d  \\\n",
       "0     ARIZONA         AZ          PINAL                   0.172841   \n",
       "1  CALIFORNIA         CA   CONTRA COSTA                  -0.453297   \n",
       "2  CALIFORNIA         CA          MARIN                  -0.665315   \n",
       "3  CALIFORNIA         CA  SAN FRANCISCO                  -0.725368   \n",
       "4  CALIFORNIA         CA      SAN MATEO                  -0.576918   \n",
       "\n",
       "  vote_percent_difference_o_color vote_percent_difference_d_color  \n",
       "0                          purple                       firebrick  \n",
       "1                      mediumblue                      mediumblue  \n",
       "2                      mediumblue                      mediumblue  \n",
       "3                      mediumblue                      mediumblue  \n",
       "4                      mediumblue                      mediumblue  "
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visits_nx.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "2a9da5a1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.133514Z",
     "start_time": "2025-02-22T00:37:01.127153Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "vote_percent_difference_o_color\n",
       "firebrick      12845885\n",
       "mediumblue    115896220\n",
       "purple          6043851\n",
       "Name: trips, dtype: int64"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visits_nx.groupby('vote_percent_difference_o_color')['trips'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "8e14a7f7",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.139783Z",
     "start_time": "2025-02-22T00:37:01.135053Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3352027"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# count the trips \n",
    "# the code below can also count red to red, red to blue, so on and so forth\n",
    "# red-red\n",
    "visits_nx[visits_nx['vote_percent_difference_o_color'].isin(['firebrick']) & visits_nx['vote_percent_difference_d_color'].isin(['firebrick'])]['trips'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "2954134d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.146623Z",
     "start_time": "2025-02-22T00:37:01.141832Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2742885"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# red-purple\n",
    "visits_nx[visits_nx['vote_percent_difference_o_color'].isin(['firebrick']) & visits_nx['vote_percent_difference_d_color'].isin(['purple'])]['trips'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "0f120de9",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.153124Z",
     "start_time": "2025-02-22T00:37:01.148383Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6750973"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# red-blue\n",
    "visits_nx[visits_nx['vote_percent_difference_o_color'].isin(['firebrick']) & visits_nx['vote_percent_difference_d_color'].isin(['mediumblue'])]['trips'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "6e8b5d5f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.157052Z",
     "start_time": "2025-02-22T00:37:01.154736Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.2609416945582185 0.21352246264076005 0.5255358428010215\n"
     ]
    }
   ],
   "source": [
    "# red-red; red-purple, red-blue\n",
    "print(3352027/12845885, 2742885/12845885, 6750973/12845885)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "60c8beab",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.163095Z",
     "start_time": "2025-02-22T00:37:01.158761Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2844909"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# count the trips \n",
    "# the code below can also count red to red, red to blue, so on and so forth\n",
    "# purple-red\n",
    "visits_nx[visits_nx['vote_percent_difference_o_color'].isin(['purple']) & visits_nx['vote_percent_difference_d_color'].isin(['firebrick'])]['trips'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "e561ecd3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.169625Z",
     "start_time": "2025-02-22T00:37:01.164913Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# purple-purple\n",
    "visits_nx[visits_nx['vote_percent_difference_o_color'].isin(['purple']) & visits_nx['vote_percent_difference_d_color'].isin(['purple'])]['trips'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "90e5df2f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.175270Z",
     "start_time": "2025-02-22T00:37:01.170962Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3198942"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# purple-blue\n",
    "visits_nx[visits_nx['vote_percent_difference_o_color'].isin(['purple']) & visits_nx['vote_percent_difference_d_color'].isin(['mediumblue'])]['trips'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "ecca0806",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.179460Z",
     "start_time": "2025-02-22T00:37:01.176876Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.470711306417051 0.0 0.529288693582949\n"
     ]
    }
   ],
   "source": [
    "# purple-red; purple-purple, purple-blue\n",
    "print(2844909/6043851, 0/6043851, 3198942/6043851)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "bee7c097",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.186277Z",
     "start_time": "2025-02-22T00:37:01.181339Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "23000859"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# count the trips \n",
    "# the code below can also count red to red, red to blue, so on and so forth\n",
    "# blue-red\n",
    "visits_nx[visits_nx['vote_percent_difference_o_color'].isin(['mediumblue']) & visits_nx['vote_percent_difference_d_color'].isin(['firebrick'])]['trips'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "6a745283",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.192508Z",
     "start_time": "2025-02-22T00:37:01.188081Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5702505"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# blue-purple\n",
    "visits_nx[visits_nx['vote_percent_difference_o_color'].isin(['mediumblue']) & visits_nx['vote_percent_difference_d_color'].isin(['purple'])]['trips'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "e64fac24",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.199014Z",
     "start_time": "2025-02-22T00:37:01.194005Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "87192856"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# blue-blue\n",
    "visits_nx[visits_nx['vote_percent_difference_o_color'].isin(['mediumblue']) & visits_nx['vote_percent_difference_d_color'].isin(['mediumblue'])]['trips'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "a363d5c5",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.203064Z",
     "start_time": "2025-02-22T00:37:01.200783Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.19846082124162462 0.04920354606906075 0.7523356326893146\n"
     ]
    }
   ],
   "source": [
    "# blue-red; blue-purple, blue-blue\n",
    "print(23000859/115896220, 5702505/115896220, 87192856/115896220)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "3ba4adaf",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.491321Z",
     "start_time": "2025-02-22T00:37:01.204740Z"
    }
   },
   "outputs": [
    {
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       "/*!\n",
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       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
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t[0]=s*(h*v-p*g)-f*(l*v-c*g)+m*(l*p-c*h),t[1]=-(n*(h*v-p*g)-f*(i*v-a*g)+m*(i*p-a*h)),t[2]=n*(l*v-c*g)-s*(i*v-a*g)+m*(i*c-a*l),t[3]=-(n*(l*p-c*h)-s*(i*p-a*h)+f*(i*c-a*l)),t[4]=-(o*(h*v-p*g)-u*(l*v-c*g)+d*(l*p-c*h)),t[5]=r*(h*v-p*g)-u*(i*v-a*g)+d*(i*p-a*h),t[6]=-(r*(l*v-c*g)-o*(i*v-a*g)+d*(i*c-a*l)),t[7]=r*(l*p-c*h)-o*(i*p-a*h)+u*(i*c-a*l),t[8]=o*(f*v-p*m)-u*(s*v-c*m)+d*(s*p-c*f),t[9]=-(r*(f*v-p*m)-u*(n*v-a*m)+d*(n*p-a*f)),t[10]=r*(s*v-c*m)-o*(n*v-a*m)+d*(n*c-a*s),t[11]=-(r*(s*p-c*f)-o*(n*p-a*f)+u*(n*c-a*s)),t[12]=-(o*(f*g-h*m)-u*(s*g-l*m)+d*(s*h-l*f)),t[13]=r*(f*g-h*m)-u*(n*g-i*m)+d*(n*h-i*f),t[14]=-(r*(s*g-l*m)-o*(n*g-i*m)+d*(n*l-i*s)),t[15]=r*(s*h-l*f)-o*(n*h-i*f)+u*(n*l-i*s),t}},{}],196:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return 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t[0]=1-(p+m),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],203:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],204:[function(t,e,r){e.exports=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t}},{}],205:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],206:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return 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n(t);f=m-_,h=g-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{\"./identity\":209}],213:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],214:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],215:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],216:[function(t,e,r){e.exports=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),c=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=c,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*c*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t}},{}],217:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],m=e[8],g=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+m*S,t[9]=l*A+h*M+g*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],218:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],219:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],220:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],221:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],222:[function(t,e,r){e.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"}},{}],223:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],224:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],225:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),i=t(\"pick-by-alias\"),a=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),f=t(\"parse-rect\"),h=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),m=t(\"detect-kerning\"),g=t(\"object-assign\"),v=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,m(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,O=0;I<this.counts.length;I++){for(var z=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(O),N=this.text.charAt(O-1);if(C[O]=R.ids[B],P[2*O]=D.width[B],F){var j=P[2*O-2],U=P[2*O],V=P[2*O-1]+.5*j+.5*U;if(this.kerning){var H=D.kerning[N+B];H&&(V+=.001*H)}P[2*O+1]=V}else P[2*O+1]=.5*P[2*O];O++}this.textWidth.push(P.length?.5*P[2*O-2]+P[2*O-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+=\"number\"==typeof t?t-n.baseline:-n[t],i*=-1}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var q;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;q=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)q.set(l(Y(W,W+4),\"uint8\"),W)}else{var X=t.color.length;q=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)q.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=q}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var 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this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new 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r=e.parse(t[1],1,Bt);if(!r)return null;var n=[],i=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(i=e.expectedType);for(var a=1;a<t.length;a+=2){var o=1===a?-1/0:t[a],s=t[a+1],l=a,c=a+1;if(\"number\"!=typeof o)return e.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,i);if(!u)return null;i=i||u.type,n.push([o,u])}return new He(i,r,n)},He.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var i=e.length;return n>=e[i-1]?r[i-1].evaluate(t):r[Ve(e,n)].evaluate(t)},He.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},He.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},He.prototype.serialize=function(){for(var t=[\"step\",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var Ge=Object.freeze({__proto__:null,number:qe,color:function(t,e,r){return new te(qe(t.r,e.r,r),qe(t.g,e.g,r),qe(t.b,e.b,r),qe(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return qe(t,e[n],r)}))}}),Ye=6/29,We=3*Ye*Ye,Xe=Math.PI/180,Ze=180/Math.PI;function Je(t){return t>.008856451679035631?Math.pow(t,1/3):t/We+4/29}function Ke(t){return t>Ye?t*t*t:We*(t-4/29)}function Qe(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function $e(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function tr(t){var e=$e(t.r),r=$e(t.g),n=$e(t.b),i=Je((.4124564*e+.3575761*r+.1804375*n)/.95047),a=Je((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*a-16,a:500*(i-a),b:200*(a-Je((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function er(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*Ke(e),r=.95047*Ke(r),n=1.08883*Ke(n),new te(Qe(3.2404542*r-1.5371385*e-.4985314*n),Qe(-.969266*r+1.8760108*e+.041556*n),Qe(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function rr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var nr={forward:tr,reverse:er,interpolate:function(t,e,r){return{l:qe(t.l,e.l,r),a:qe(t.a,e.a,r),b:qe(t.b,e.b,r),alpha:qe(t.alpha,e.alpha,r)}}},ir={forward:function(t){var e=tr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*Ze;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*Xe,r=t.c;return er({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:rr(t.h,e.h,r),c:qe(t.c,e.c,r),l:qe(t.l,e.l,r),alpha:qe(t.alpha,e.alpha,r)}}},ar=Object.freeze({__proto__:null,lab:nr,hcl:ir}),or=function(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var a=0,o=i;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1];this.labels.push(l),this.outputs.push(c)}};function sr(t,e,r,n){var i=n-r,a=t-r;return 0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}or.interpolationFactor=function(t,e,n,i){var a=0;if(\"exponential\"===t.name)a=sr(e,t.base,n,i);else if(\"linear\"===t.name)a=sr(e,1,n,i);else if(\"cubic-bezier\"===t.name){var o=t.controlPoints;a=new r(o[0],o[1],o[2],o[3]).solve(sr(e,1,n,i))}return a},or.parse=function(t,e){var r=t[0],n=t[1],i=t[2],a=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error(\"Expected an interpolation type expression.\",1);if(\"linear\"===n[0])n={name:\"linear\"};else if(\"exponential\"===n[0]){var o=n[1];if(\"number\"!=typeof o)return e.error(\"Exponential interpolation requires a numeric base.\",1,1);n={name:\"exponential\",base:o}}else{if(\"cubic-bezier\"!==n[0])return e.error(\"Unknown interpolation type \"+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return\"number\"!=typeof t||t<0||t>1})))return e.error(\"Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.\",1);n={name:\"cubic-bezier\",controlPoints:s}}if(t.length-1<4)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if((t.length-1)%2!=0)return e.error(\"Expected an even number of arguments.\");if(!(i=e.parse(i,2,Bt)))return null;var l=[],c=null;\"interpolate-hcl\"===r||\"interpolate-lab\"===r?c=Ut:e.expectedType&&\"value\"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<a.length;u+=2){var f=a[u],h=a[u+1],p=u+3,d=u+4;if(\"number\"!=typeof f)return e.error('Input/output pairs for 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a=Ve(e,n),o=e[a],s=e[a+1],l=or.interpolationFactor(this.interpolation,n,o,s),c=r[a].evaluate(t),u=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Ge[this.type.kind.toLowerCase()](c,u,l):\"interpolate-hcl\"===this.operator?ir.reverse(ir.interpolate(ir.forward(c),ir.forward(u),l)):nr.reverse(nr.interpolate(nr.forward(c),nr.forward(u),l))},or.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},or.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},or.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var lr=function(t,e){this.type=t,this.args=e};lr.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var c=n&&i.some((function(t){return Jt(n,t.type)}));return new lr(c?Ht:r,i)},lr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length;i+=1){if(n++,(r=a[i].evaluate(t))&&r instanceof ie&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null!==r)break}return r},lr.prototype.eachChild=function(t){this.args.forEach(t)},lr.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},lr.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var cr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};cr.prototype.evaluate=function(t){return this.result.evaluate(t)},cr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1){t(r[e][1])}t(this.result)},cr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new cr(r,o):null},cr.prototype.outputDefined=function(){return this.result.outputDefined()},cr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var ur=function(t,e,r){this.type=t,this.index=e,this.input=r};ur.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Bt),n=e.parse(t[2],2,Wt(e.expectedType||Ht));if(!r||!n)return null;var i=n.type;return new ur(i.itemType,r,n)},ur.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new ue(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new ue(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new ue(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},ur.prototype.eachChild=function(t){t(this.index),t(this.input)},ur.prototype.outputDefined=function(){return!1},ur.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var fr=function(t,e){this.type=jt,this.needle=t,this.haystack=e};fr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);return r&&n?Kt(r.type,[jt,Nt,Bt,Ft,Ht])?new fr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\"):null},fr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");return r.indexOf(e)>=0},fr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},fr.prototype.outputDefined=function(){return!0},fr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var hr=function(t,e,r){this.type=Bt,this.needle=t,this.haystack=e,this.fromIndex=r};hr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);if(!r||!n)return null;if(!Kt(r.type,[jt,Nt,Bt,Ft,Ht]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Bt);return i?new hr(r,n,i):null}return new hr(r,n)},hr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},hr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},hr.prototype.outputDefined=function(){return!1},hr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var pr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};pr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of 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m?\"value\"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new pr(r,n,d,i,a,m):null},pr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(se(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},pr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},pr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},pr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},i=0,a=Object.keys(this.cases).sort();i<a.length;i+=1){var o=a[i];void 0===(f=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[f][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],f=u[0],h=u[1];1===h.length?e.push(s(h[0])):e.push(h.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var dr=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};dr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=0)return e.error(\"Expected an odd number of arguments.\");var r;e.expectedType&&\"value\"!==e.expectedType.kind&&(r=e.expectedType);for(var n=[],i=1;i<t.length-1;i+=2){var a=e.parse(t[i],i,jt);if(!a)return null;var o=e.parse(t[i+1],i+1,r);if(!o)return null;n.push([a,o]),r=r||o.type}var s=e.parse(t[t.length-1],t.length-1,r);return s?new dr(r,n,s):null},dr.prototype.evaluate=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];if(i.evaluate(t))return a.evaluate(t)}return this.otherwise.evaluate(t)},dr.prototype.eachChild=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t(i),t(a)}t(this.otherwise)},dr.prototype.outputDefined=function(){return this.branches.every((function(t){t[0];return 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or?a.interpolation:void 0;return Ir(new Zr(n?\"camera\":\"composite\",t.value,a.labels,o))}Zr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Zr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},Zr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?or.interpolationFactor(this.interpolationType,t,e,r):0};var Kr=function(t,e){this._parameters=t,this._specification=e,It(this,function t(e,r){var n,i,a,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||void 0!==e.property,c=s||!l,u=e.type||(Rr(r)?\"exponential\":\"interval\");if(o&&((e=It({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],te.parse(t[1])]}))),e.default?e.default=te.parse(e.default):e.default=te.parse(r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!ar[e.colorSpace])throw new Error(\"Unknown color space: 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n&&r<n.minimum?[new Ct(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Ct(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function en(t){var e,r,n,i=t.valueSpec,a=Ot(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,c=\"array\"===Fr(t.value.stops)&&\"array\"===Fr(t.value.stops[0])&&\"object\"===Fr(t.value.stops[0][0]),u=Qr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Ct(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;e=e.concat($r({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Fr(r)&&0===r.length&&e.push(new Ct(t.key,r,\"array must have at least one stop\"));return e},default:function(t){return kn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&u.push(new Ct(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||u.push(new Ct(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!Rr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!zr(t.valueSpec)?u.push(new Ct(t.key,t.value,\"property functions not supported\")):s&&!Dr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!c||void 0!==t.value.property||u.push(new Ct(t.key,t.value,'\"property\" property is required')),u;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Fr(a))return[new Ct(s,a,\"array expected, \"+Fr(a)+\" found\")];if(2!==a.length)return[new Ct(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(c){if(\"object\"!==Fr(a[0]))return[new Ct(s,a,\"object expected, \"+Fr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Ct(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Ct(s,a,\"object stop key must have value\")];if(n&&n>Ot(a[0].zoom))return[new Ct(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ot(a[0].zoom)!==n&&(n=Ot(a[0].zoom),r=void 0,o={}),e=e.concat(Qr({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:tn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return Yr(zt(a[1]))?e.concat([new Ct(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(kn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Fr(t.value),l=Ot(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Ct(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Ct(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return zr(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Ct(t.key,c,u)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Ct(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Ct(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Ct(t.key,c,\"integer expected, found \"+l)]}}function rn(t){var e=(\"property\"===t.expressionContext?Jr:Wr)(zt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Ct(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Ct(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ne(r,[\"zoom\",\"feature-state\"]))return[new Ct(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Fe(r))return[new Ct(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function nn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ot(r))&&i.push(new Ct(e,r,\"expected one of [\"+n.values.join(\", \")+\"], 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on={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function sn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};an(t)||(t=cn(t));var e=Wr(t,on);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\"within\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function ln(t,e){return t<e?-1:t>e?1:0}function cn(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?un(t[1],t[2],\"==\"):\"!=\"===r?pn(un(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?un(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(cn))):\"all\"===r?[\"all\"].concat(t.slice(1).map(cn)):\"none\"===r?[\"all\"].concat(t.slice(1).map(cn).map(pn)):\"in\"===r?fn(t[1],t.slice(2)):\"!in\"===r?pn(fn(t[1],t.slice(2))):\"has\"===r?hn(t[1]):\"!has\"===r?pn(hn(t[1])):\"within\"!==r||t}function un(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function fn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(ln)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function hn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function pn(t){return[\"!\",t]}function dn(t){return an(zt(t.value))?rn(It({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==Fr(r))return[new Ct(n,r,\"array expected, \"+Fr(r)+\" found\")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new Ct(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat(nn({key:n+\"[0]\",value:r[0],valueSpec:a.filter_operator,style:e.style,styleSpec:e.styleSpec})),Ot(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Ot(r[1])&&o.push(new Ct(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new Ct(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(i=Fr(r[1]))&&o.push(new Ct(n+\"[1]\",r[1],\"string expected, \"+i+\" 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r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return kn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Ct(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Fr(a)&&zr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Ct(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Ct(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Br(zt(a))&&\"identity\"===Ot(a.type)&&f.push(new Ct(r,a,'\"text-font\" does not support identity 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null!=hi.applyArabicShaping&&null!=hi.processBidirectionalText&&null!=hi.processStyledBidirectionalText},getPluginURL:function(){return oi}},pi=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new Gn,this.transition={})};pi.prototype.isSupportedScript=function(t){return function(t,e){for(var r=0,n=t;r<n.length;r+=1){if(!Qn(n[r].charCodeAt(0),e))return!1}return!0}(t,hi.isLoaded())},pi.prototype.crossFadingFactor=function(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},pi.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var di=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(Br(t))return new Kr(t,e);if(Yr(t)){var r=Jr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=te.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};di.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var mi=function(t){this.property=t,this.value=new di(t,void 0)};mi.prototype.transitioned=function(t,e){return new vi(this.property,this.value,e,u({},t.transition,this.transition),t.now)},mi.prototype.untransitioned=function(){return new vi(this.property,this.value,null,{},0)};var gi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};gi.prototype.getValue=function(t){return x(this._values[t].value.value)},gi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new mi(this._values[t].property)),this._values[t].value=new di(this._values[t].property,null===e?void 0:x(e))},gi.prototype.getTransition=function(t){return x(this._values[t].transition)},gi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new mi(this._values[t].property)),this._values[t].transition=x(e)||void 0},gi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},gi.prototype.transitioned=function(t,e){for(var r=new yi(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},gi.prototype.untransitioned=function(){for(var t=new yi(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var vi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};vi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var yi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};yi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},yi.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var xi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};xi.prototype.getValue=function(t){return x(this._values[t].value)},xi.prototype.setValue=function(t,e){this._values[t]=new di(this._values[t].property,null===e?void 0:x(e))},xi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},xi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};bi.prototype.isConstant=function(){return\"constant\"===this.value.kind},bi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var _i=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};_i.prototype.get=function(t){return this._values[t]};var wi=function(t){this.specification=t};wi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},wi.prototype.interpolate=function(t,e,r){var n=Ge[this.specification.type];return n?n(t,e,r):t};var Ti=function(t,e){this.specification=t,this.overrides=e};Ti.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new bi(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new bi(this,t.expression,e)},Ti.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new bi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ge[this.specification.type];return n?new bi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ti.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new bi(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new bi(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new bi(this,{kind:\"constant\",value:s},e)}return new bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ti),Ai=function(t){this.specification=t};Ai.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new pi(Math.floor(e.zoom),e)),t.expression.evaluate(new pi(Math.floor(e.zoom+1),e)),e)}},Ai.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ai.prototype.interpolate=function(t){return t};var Mi=function(t){this.specification=t};Mi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Mi.prototype.interpolate=function(){return!1};var Si=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new mi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Nn(\"DataDrivenProperty\",Ti),Nn(\"DataConstantProperty\",wi),Nn(\"CrossFadedDataDrivenProperty\",ki),Nn(\"CrossFadedProperty\",Ai),Nn(\"ColorRampProperty\",Mi);var Ei=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(e=e,this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new xi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new gi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new _i(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(In,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return g(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Pn,n,t,e,r))return!1}if(g(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||(!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&((\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2i4\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\"StructArrayLayout4i8\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i4i12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2i4ub8\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\"StructArrayLayout8ui2ub18\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\"StructArrayLayout4i4ui4i24\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\"StructArrayLayout3f12\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1ul4\",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\"StructArrayLayout6i1ul2ui20\",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=m,this.uint32[x+10]=g,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=m,this.uint16[L+15]=g,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Xi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3i6\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\"StructArrayLayout1ul2ui8\",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Pi);Qi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2ui4\",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn(\"StructArrayLayout1ui2\",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2f8\",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Pi);ea.prototype.bytesPerElement=16,Nn(\"StructArrayLayout4f16\",ea);var ra=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn(\"CollisionBoxArray\",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ci);ia.prototype.size=48;var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ia(this,t)},e}(Wi);Nn(\"PlacedSymbolArray\",aa);var oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return 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c=t.readVarint();n=7&c,a=c>>3}if(a--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new i(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];u(l=f);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=ks(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}r&&i.push(r);return i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var h={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var As=Ms;function Ms(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Ss,this,e),this.length=this._features.length}function Ss(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){var e=null,r=t.readVarint()+t.pos;for(;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Es(t,e,r){if(3===t){var n=new As(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ms.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new _s(this._pbf,e,this.extent,this._keys,this._values)};var Ls={VectorTile:function(t,e){this.layers=t.readFields(Es,{},e)},VectorTileFeature:_s,VectorTileLayer:As},Cs=Ls.VectorTileFeature.types,Ps=Math.pow(2,13);function Is(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ps)+o,i*Ps*2,a*Ps*2,Math.round(s))}var Os=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ri,this.indexArray=new Yi,this.programConfigurations=new Ua(bs,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function zs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}function Ds(t){return t.every((function(t){return t.x<0}))||t.every((function(t){return t.x>8192}))||t.every((function(t){return t.y<0}))||t.every((function(t){return t.y>8192}))}Os.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ds(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:u?Ya(o):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:c,index:l,geometry:u?f.geometry:Ya(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(ms(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,c,this.index,!0)}}},Os.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Os.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,bs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Os.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Os.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=hs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1){l+=u[c].length}for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!Ds(d))for(var m=0,g=0;g<d.length;g++){var v=d[g];if(g>=1){var y=d[g-1];if(!zs(v,y)){f.vertexLength+4>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);m+b>32768&&(m=0),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,m),m+=b,Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,m);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Cs[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Is(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Do(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Nn(\"FillExtrusionBucket\",Os,{omit:[\"layers\",\"features\"]});var Rs={paint:new Si({\"fill-extrusion-opacity\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ki(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},Fs=function(t){function e(e){t.call(this,e,Rs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return so(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s,l){var c=lo(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];xo(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l,0,0),p=function(t,e,r,n){for(var a=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,m=0,g=t;m<g.length;m+=1){for(var v=g[m],y=[],x=[],b=0,_=v;b<_.length;b+=1){var w=_[b],T=w.x,k=w.y,A=n[0]*T+n[4]*k+n[12],M=n[1]*T+n[5]*k+n[13],S=n[2]*T+n[6]*k+n[14],E=n[3]*T+n[7]*k+n[15],L=S+c,C=E+u,P=A+f,I=M+h,O=S+p,z=E+d,D=new i((A+s)/C,(M+l)/C);D.z=L/C,y.push(D);var R=new i(P/z,I/z);R.z=O/z,x.push(R)}a.push(y),o.push(x)}return[a,o]}(n,f,u,l);return function(t,e,r){var n=1/0;Ka(r,e)&&(n=Ns(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],f=o[s+1],h=[l,c,f,u,l];Za(r,h)&&(n=Math.min(n,Ns(r,h)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ei);function Bs(t,e){return t.x*e.x+t.y*e.y}function Ns(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Bs(s,s),f=Bs(s,l),h=Bs(l,l),p=Bs(c,s),d=Bs(c,l),m=u*h-f*f,g=(h*p-f*d)/m,v=(u*d-f*p)/m,y=1-g-v,x=i.z*y+r.z*g+a.z*v;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var js=Ii([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,Us=Ls.VectorTileFeature.types,Vs=Math.cos(Math.PI/180*37.5),Hs=Math.pow(2,14)/.5,qs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Fi,this.indexArray=new Yi,this.programConfigurations=new Ua(js,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};qs.prototype.populate=function(t,e,r){this.hasPattern=ds(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:h?Ya(l):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),p,r)){h||(p.geometry=Ya(l));var d=n?n.evaluate(p,{},r):void 0,m={id:c,properties:l.properties,type:l.type,sourceLayerIndex:f,index:u,geometry:p.geometry,patterns:{},sortKey:d};i.push(m)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,v=i;g<v.length;g+=1){var y=v[g],x=y,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=ms(\"line\",this.layers,y,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(y,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},qs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},qs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},qs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},qs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},qs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,js),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},qs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},qs.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\"),u=0,f=e;u<f.length;u+=1){var h=f[u];this.addLine(h,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},qs.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===Us[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,m=void 0,g=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],g=t[c].sub(u)._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){g&&(m=g),u&&(p=u),u=t[v],g=d?d.sub(u)._unit()._perp():m;var y=(m=m||g).add(g);0===y.x&&0===y.y||y._unit();var x=m.x*g.x+m.y*g.y,b=y.x*g.x+y.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Vs&&p&&d,k=m.x*g.y-m.y*g.x>0;if(T&&v>c){var A=u.dist(p);if(A>2*f){var M=u.sub(u.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,m,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,h);else if(\"flipbevel\"===E){if(_>100)y=g.mult(-1);else{var L=_*m.add(g).mag()/m.sub(g).mag();y._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(u,y,0,0,h),this.addCurrentVertex(u,y.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,I=k?0:C;if(p&&this.addCurrentVertex(u,m,P,I,h),\"fakeround\"===E)for(var O=Math.round(180*w/Math.PI/20),z=1;z<O;z++){var D=z/O;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(m)._mult(D)._add(m)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(u,g,-P,-I,h)}else if(\"butt\"===E)this.addCurrentVertex(u,y,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,m,0,0,h),this.addCurrentVertex(u,m,1,1,h,!0)),d&&(this.addCurrentVertex(u,g,-1,-1,h,!0),this.addCurrentVertex(u,g,0,0,h)));if(T&&v<l-1){var N=u.dist(d);if(N>2*f){var j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,g,0,0,h),u=j}}}}},qs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>Hs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},qs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},qs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Hs-1):this.distance},qs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn(\"LineBucket\",qs,{omit:[\"layers\",\"patternFeatures\"]});var Gs=new Si({\"line-cap\":new 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e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ti))(Ys.paint.properties[\"line-width\"].specification);Ws.useIntegerZoom=!0;var Xs=function(t){function e(e){t.call(this,e,Ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var 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o=t[a],s=[],l=0;l<o.length;l++){var c=o[l-1],u=o[l],f=o[l+1],h=0===l?n:u.sub(c)._unit()._perp(),p=l===o.length-1?n:f.sub(u)._unit()._perp(),d=h._add(p)._unit(),m=d.x*p.x+d.y*p.y;d._mult(1/m),s.push(d._mult(e)._add(u))}r.push(s)}return r}(n,u*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(io(t,i[a]))return!0;if(Qa(t,i,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(Ei);function Zs(t,e){return e>0?e+2*t:t}var 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nl=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},il=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,f=u>>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+f>=1?h/l:h*Math.pow(2,1-f))*l>=2&&(o++,l/=2),o+f>=u?(s=0,o=u):o+f>=1?(s=(e*l-1)*Math.pow(2,i),o+=f):(s=e*Math.pow(2,f-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*m},al=ol;function ol(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new 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e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readSFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===ol.Varint)for(;this.buf[this.pos++]>127;);else if(e===ol.Bytes)this.pos=this.readVarint()+this.pos;else if(e===ol.Fixed32)this.pos+=4;else{if(e!==ol.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return 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r=(7&t)<<4;if(e.buf[e.pos++]|=r|((t>>>=3)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;e.buf[e.pos++]=127&t}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&ul(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),il(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),il(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&ul(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,ol.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,fl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,ml,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,pl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,dl,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,vl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,xl,e)},writeBytesField:function(t,e){this.writeTag(t,ol.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,ol.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,ol.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};function Tl(t,e,r){1===t&&r.readMessage(kl,e)}function kl(t,e,r){if(3===t){var n=r.readMessage(Al,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:i,bitmap:new So({width:o+6,height:s+6},a),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function Al(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}function Ml(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var f=u[c],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else 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Eo({width:o||1,height:s||1});for(var c in t){var u=t[c],f=r[c].paddedRect;Eo.copy(u.data,l,{x:0,y:0},{x:f.x+1,y:f.y+1},u.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,m=d.x+1,g=d.y+1,v=p.data.width,y=p.data.height;Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g},p.data),Eo.copy(p.data,l,{x:0,y:y-1},{x:m,y:g-1},{width:v,height:1}),Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g+y},{width:v,height:1}),Eo.copy(p.data,l,{x:v-1,y:0},{x:m-1,y:g},{width:1,height:y}),Eo.copy(p.data,l,{x:0,y:0},{x:m+v,y:g},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ll.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new Sl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ll.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},Ll.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},Nn(\"ImagePosition\",Sl),Nn(\"ImageAtlas\",Ll);var Cl={horizontal:1,vertical:2,horizontalOnly:3};var Pl=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};Pl.forText=function(t,e){var r=new Pl;return r.scale=t||1,r.fontStack=e,r},Pl.forImage=function(t){var e=new Pl;return e.imageName=t,e};var Il=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function Ol(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=Il.fromFeature(t,i);f===Cl.vertical&&v.verticalizePunctuation();var y=hi.processBidirectionalText,x=hi.processStyledBidirectionalText;if(y&&1===v.sections.length){g=[];for(var b=0,_=y(v.toString(),jl(v,c,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new Il;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(v.text,v.sectionIndex,jl(v,c,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new Il;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(v,jl(v,c,a,e,n,p,d));var L=[],C={positionedLines:L,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=0,p=-17,d=0,m=0,g=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=i;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,I=null,O=null,z=24,D=!(l===Cl.horizontal||!u&&!Zn(L)||u&&(zl[L]||(Y=L,Yn.Arabic(Y)||Yn[\"Arabic Supplement\"](Y)||Yn[\"Arabic Extended-A\"](Y)||Yn[\"Arabic Presentation Forms-A\"](Y)||Yn[\"Arabic Presentation Forms-B\"](Y))));if(S.imageName){var R=n[S.imageName];if(!R)continue;O=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/f,P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]};var B=24-F[1]*S.scale;C=w+B,z=P.advance;var N=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;N>0&&N>A&&(A=N)}else{var j=r[S.fontStack],U=j&&j[L];if(U&&U.rect)I=U.rect,P=U.metrics;else{var V=e[S.fontStack],H=V&&V[L];if(!H)continue;P=H.metrics}C=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=z*S.scale+c):(k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=P.advance*S.scale+c)}if(0!==k.length){var q=h-c;d=Math.max(q,d),Vl(k,0,k.length-1,g,A)}h=0;var G=a*_+A;T.lineOffset=Math.max(A,w),p+=G,m=Math.max(G,m),++v}else p+=a,++v}var Y;var W=p- -17,X=Ul(o),Z=X.horizontalAlign,J=X.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n- -17:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=h[f],d=0,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];g.x+=c,g.y+=u}})(t.positionedLines,g,Z,J,d,m,a,W,i.length),t.top+=-J*W,t.bottom=t.top+W,t.left+=-Z*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,c,h,m),!function(t){for(var e=0,r=t;e<r.length;e+=1){if(0!==r[e].positionedGlyphs.length)return!1}return!0}(L)&&C}Il.fromFeature=function(t,e){for(var r=new Il,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},Il.prototype.length=function(){return this.text.length},Il.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},Il.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},Il.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},Il.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;(!n||!Jn(n)||rl[t[r+1]])&&(!i||!Jn(i)||rl[t[r-1]])&&rl[t[r]]?e+=rl[t[r]]:e+=t[r]}return e}(this.text)},Il.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&zl[this.text.charCodeAt(e)];e++)t++;for(var 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e=this.data,r=this.compare,n=this.length>>1,i=e[t];t<n;){var a=1+(t<<1),o=e[a],s=a+1;if(s<this.length&&r(e[s],o)<0&&(a=s,o=e[s]),r(o,i)>=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-7;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=7-r}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-7;break;case\"bottom-right\":case\"bottom-left\":n=7-i;break;case\"bottom\":n=7-e;break;case\"top\":n=e-7}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function mc(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function gc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,m){var g=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f<h.length;f+=1)for(var p=h[f],d=0,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];if(g.rect){var v=g.rect||{},y=4,x=!0,b=1,_=0,w=(a||l)&&g.vertical,T=g.metrics.advance*g.scale/2;if(l&&e.verticalizable){var k=24*(g.scale-1),A=(24-g.metrics.width*g.scale)/2;_=p.lineOffset/2-(g.imageName?-A:k)}if(g.imageName){var M=s[g.imageName];x=M.sdf,y=1/(b=M.pixelRatio)}var S=a?[g.x+T,g.y]:[0,0],E=a?[0,0]:[g.x+T+r[0],g.y+r[1]-_],L=[0,0];w&&(L=E,E=[0,0]);var C=(g.metrics.left-y)*g.scale-T+E[0],P=(-g.metrics.top-y)*g.scale+E[1],I=C+v.w*g.scale/b,O=P+v.h*g.scale/b,z=new i(C,P),D=new i(I,P),R=new i(C,O),F=new i(I,O);if(w){var B=new i(-T,T- -17),N=-Math.PI/2,j=12-T,U=g.imageName?j:0,V=new i(22-j,-U),H=new(Function.prototype.bind.apply(i,[null].concat(L)));z._rotateAround(N,B)._add(V)._add(H),D._rotateAround(N,B)._add(V)._add(H),R._rotateAround(N,B)._add(V)._add(H),F._rotateAround(N,B)._add(V)._add(H)}if(c){var q=Math.sin(c),G=Math.cos(c),Y=[G,-q,q,G];z._matMult(Y),D._matMult(Y),R._matMult(Y),F._matMult(Y)}var W=new i(0,0),X=new i(0,0);u.push({tl:z,tr:D,bl:R,br:F,tex:v,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;\"source\"===v.kind?(y=[128*a.layout.get(\"text-size\").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'):\"composite\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},m),128*d.compositeTextSizes[1].evaluate(s,{},m)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'),t.addSymbols(t.text,g,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,m);for(var x=0,b=f;x<b.length;x+=1){h[b[x]]=t.text.placedSymbolArray.length-1}return 4*g.length}function vc(t){for(var e in t)return t[e];return null}function yc(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var xc=Ls.VectorTileFeature.types,bc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function _c(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=s?Math.min(32640,Math.round(s[0])):0,d=s?Math.min(32640,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*f,256*h)}function wc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Tc(t){for(var e=0,r=t.sections;e<r.length;e+=1){if($n(r[e].text))return!0}return!1}var kc=function(t){this.layoutVertexArray=new Ni,this.indexArray=new Yi,this.programConfigurations=t,this.segments=new pa,this.dynamicLayoutVertexArray=new ji,this.opacityVertexArray=new Ui,this.placedSymbolArray=new aa};kc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},kc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Js.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Ks.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,bc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},kc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Nn(\"SymbolBuffers\",kc);var Ac=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new pa,this.collisionVertexArray=new Gi};Ac.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Qs.members,!0)},Ac.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Nn(\"CollisionBuffers\",Ac);var Mc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ho([]),this.placementViewportMatrix=ho([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Gl(this.zoom,e[\"text-size\"]),this.iconSizeData=Gl(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return Cl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Mc.prototype.createArrays=function(){this.text=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new la,this.lineVertexArray=new ca,this.symbolInstances=new sa},Mc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=rl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Mc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof ne&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),m=0,g=t;m<g.length;m+=1){var v=g[m],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Ya(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Ya(y));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=ne.factory(A);Tc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ui()||this.hasRTLText&&hi.isParsed())&&(k=el(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ie?E:ie.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Ya(y),properties:y.properties,type:xc[y.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),I=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(Cl.vertical)>=0;for(var O=0,z=k.sections;O<z.length;O+=1){var D=z[O];if(D.image)f[D.image.name]=!0;else{var R=Wn(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.text?u.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var m=s(p,d,f),g=o(p,d,n[m].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[m].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Mc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Mc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Mc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Mc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Mc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Mc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Mc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Mc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),m=this.glyphOffsetArray.length,g=d.vertexLength,v=this.allowVerticalPlacement&&o===Cl.vertical?Math.PI/2:0,y=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,O=d.vertexLength,z=C[1];_c(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),_c(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),_c(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),_c(p,s.x,s.y,k.x,z+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),wc(t.dynamicLayoutVertexArray,s,v),h.emplaceBack(O,O+1,O+2),h.emplaceBack(O+1,O+2,O+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,m,this.glyphOffsetArray.length-m,g,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},Mc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Mc.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},Mc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Mc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ac(Hi,$s.members,Qi),this.iconCollisionBox=new Ac(Hi,$s.members,Qi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},Mc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var m=t.get(d);c.iconBox={x1:m.x1,y1:m.y1,x2:m.x2,y2:m.y2,anchorPointX:m.anchorPointX,anchorPointY:m.anchorPointY},c.iconFeatureIndex=m.featureIndex;break}for(var g=s;g<l;g++){var v=t.get(g);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},Mc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},Mc.prototype.hasTextData=function(){return this.text.segments.get().length>0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},Mc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},Mc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},Mc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\"SymbolBucket\",Mc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({\"symbol-placement\":new wi(Lt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new wi(Lt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new wi(Lt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ti(Lt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new wi(Lt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new wi(Lt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new wi(Lt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new wi(Lt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new wi(Lt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ti(Lt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new wi(Lt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new wi(Lt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ti(Lt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ti(Lt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new wi(Lt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new wi(Lt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ti(Lt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ti(Lt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new wi(Lt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new wi(Lt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new wi(Lt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ti(Lt.layout_symbol[\"text-field\"]),\"text-font\":new Ti(Lt.layout_symbol[\"text-font\"]),\"text-size\":new Ti(Lt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ti(Lt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new wi(Lt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ti(Lt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ti(Lt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ti(Lt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new wi(Lt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ti(Lt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new wi(Lt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new wi(Lt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ti(Lt.layout_symbol[\"text-rotate\"]),\"text-padding\":new wi(Lt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new wi(Lt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ti(Lt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ti(Lt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new wi(Lt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new wi(Lt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new wi(Lt.layout_symbol[\"text-optional\"])}),Ec={paint:new Si({\"icon-opacity\":new Ti(Lt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ti(Lt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ti(Lt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ti(Lt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ti(Lt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new wi(Lt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new wi(Lt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ti(Lt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ti(Lt.paint_symbol[\"text-color\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ti(Lt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ti(Lt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ti(Lt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new wi(Lt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new wi(Lt.paint_symbol[\"text-translate-anchor\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\"FormatSectionOverride\",Lc,{omit:[\"defaultValue\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Yr(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new Mc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Ec.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i=this.paint.get(n),a=new Lc(i),o=new Gr(a,i.property.specification),s=null;s=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Xr(\"source\",o):new Zr(\"composite\",o,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new bi(i.property,s,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=Ec.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof ne)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ce&&se(t.value)===Gt){var e=t.value;a(e.sections)}else t instanceof pe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ei),Pc={paint:new Si({\"background-color\":new wi(Lt.paint_background[\"background-color\"]),\"background-pattern\":new Ai(Lt.paint_background[\"background-pattern\"]),\"background-opacity\":new wi(Lt.paint_background[\"background-opacity\"])})},Ic=function(t){function e(e){t.call(this,e,Pc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei),Oc={paint:new Si({\"raster-opacity\":new wi(Lt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new wi(Lt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new wi(Lt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new wi(Lt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new wi(Lt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new wi(Lt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new wi(Lt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new wi(Lt.paint_raster[\"raster-fade-duration\"])})},zc=function(t){function e(e){t.call(this,e,Oc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei);var Dc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ei),Rc={circle:_o,heatmap:Po,hillshade:Oo,fill:xs,\"fill-extrusion\":Fs,line:Xs,symbol:Cc,background:Ic,raster:zc};var Fc=self.HTMLImageElement,Bc=self.HTMLCanvasElement,Nc=self.HTMLVideoElement,jc=self.ImageData,Uc=self.ImageBitmap,Vc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Vc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Vc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Vc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Vc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Hc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Hc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Hc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var qc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m([\"receive\",\"process\"],this),this.invoker=new Hc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Gc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}qc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:Hn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},qc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},eu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},eu.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var ru=function(t,e){this.wrap=t,this.canonical=e,this.key=iu(t,e.z,e.z,e.x,e.y)},nu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new eu(r,+n,+i),this.key=iu(e,t,r,n,i)};function iu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}nu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},nu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},nu.prototype.wrapped=function(){return new nu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.unwrapTo=function(t){return new nu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},nu.prototype.toUnwrapped=function(){return new ru(this.wrap,this.canonical)},nu.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},nu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new tu(t.x-this.wrap,t.y))},Nn(\"CanonicalTileID\",eu),Nn(\"OverscaledTileID\",nu,{omit:[\"posMatrix\"]});var au=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return _('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};au.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},au.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},au.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Nn(\"DEMData\",au);var ou=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};ou.prototype.encode=function(t){return this._stringToNumber[t]},ou.prototype.decode=function(t){return this._numberToString[t]};var su=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},lu={geometry:{configurable:!0}};lu.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},lu.geometry.set=function(t){this._geometry=t},su.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(su.prototype,lu);var cu=function(){this.state={},this.stateChanges={},this.deletedStates={}};cu.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r){this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]}},cu.prototype.removeFeatureState=function(t,e,r){if(!(null===this.deletedStates[t])){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e){if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null}else this.deletedStates[t]=null}},cu.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=u({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},cu.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},cu.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1){var p=h[f];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t){t[d].setFeatureState(r,e)}};var uu=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new zn(8192,16,0),this.grid3D=new zn(8192,16,0),this.featureIndexArray=new fa,this.promoteId=e};function fu(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof _i?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function hu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function pu(t,e){return e-t}uu.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1){if(io(t,f[u]))return!0}for(var h=0;h<t.length-1;h++){if(ao(t[h],t[h+1],c))return!0}return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)})),m=0,g=d;m<g.length;m+=1){var v=g[m];h.push(v)}h.sort(pu);for(var y,x={},b=function(i){var u=h[i];if(u!==y){y=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(x,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Ya(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<h.length;_++)b(_);return x},uu.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),m=0;m<f.length;m++){var g=f[m];if(!(a&&a.indexOf(g)<0)){var v=s[g];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[g];x.paint=fu(x.paint,v.paint,p,y,o),x.layout=fu(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new su(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},uu.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=sn(i),u=0,f=t;u<f.length;u+=1){var h=f[u];this.loadMatchingFeature(l,r,n,h,c,a,o,s,e)}return l},uu.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1){if(t===i[n])return!0}return!1},uu.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},Nn(\"FeatureIndex\",uu,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var du=function(t,e){this.tileID=t,this.uid=h(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};du.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},du.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},du.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Mc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof Mc&&o.hasRTLText){this.hasRTLText=!0,hi.isLoading()||hi.isLoaded()||\"deferred\"!==ui()||fi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new na},du.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},du.prototype.getBucket=function(t){return this.buckets[t.id]},du.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Vc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Vc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},du.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},du.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},du.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=sn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,f={z:l,x:c,y:u},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),m=new su(p,l,c,u,d);m.tile=f,t.push(m)}}}},du.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},du.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},du.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=A(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},du.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},du.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},du.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},du.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},du.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},du.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},du.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){r[i[n]]=!0}this.dependencies[t]=r},du.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1){if(a[s[o]])return!0}}return!1};var 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r},t.makeRequest=yt,t.mapObject=v,t.mercatorXfromLng=Jc,t.mercatorYfromLat=Kc,t.mercatorZfromAltitude=Qc,t.mul=mo,t.multiply=po,t.mvt=Ls,t.normalize=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=qe,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new 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g=(c+1)%2;(0===c?r-i<=d:n-i<=m)&&(o.push(f),o.push(p-1),o.push(g)),(0===c?r+i>=d:n+i>=m)&&(o.push(p+1),o.push(u),o.push(g))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var j={minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},U=function(t){this.options=X(Object.create(j),t),this.trees=new Array(this.options.maxZoom+1)};function V(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:W(i),zoom:1/0,index:e,parentId:-1}}function q(t){return{type:\"Feature\",id:t.id,properties:G(t),geometry:{type:\"Point\",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function G(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+\"k\":e>=1e3?Math.round(e/100)/10+\"k\":e;return 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r=0;r<e.length;r+=3)t.minX=Math.min(t.minX,e[r]),t.minY=Math.min(t.minY,e[r+1]),t.maxX=Math.max(t.maxX,e[r]),t.maxY=Math.max(t.maxY,e[r+1])}function tt(t,e,r,n){if(e.geometry){var i=e.geometry.coordinates,a=e.geometry.type,o=Math.pow(r.tolerance/((1<<r.maxZoom)*r.extent),2),s=[],l=e.id;if(r.promoteId?l=e.properties[r.promoteId]:r.generateId&&(l=n||0),\"Point\"===a)et(i,s);else if(\"MultiPoint\"===a)for(var c=0;c<i.length;c++)et(i[c],s);else if(\"LineString\"===a)rt(i,s,o,!1);else if(\"MultiLineString\"===a){if(r.lineMetrics){for(c=0;c<i.length;c++)s=[],rt(i[c],s,o,!1),t.push(Q(l,\"LineString\",s,e.properties));return}nt(i,s,o,!1)}else if(\"Polygon\"===a)nt(i,s,o,!0);else{if(\"MultiPolygon\"!==a){if(\"GeometryCollection\"===a){for(c=0;c<e.geometry.geometries.length;c++)tt(t,{id:l,geometry:e.geometry.geometries[c],properties:e.properties},r,n);return}throw new Error(\"Input data is not a valid GeoJSON object.\")}for(c=0;c<i.length;c++){var 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u=t[c],f=u.geometry,h=u.type,p=0===i?u.minX:u.minY,d=0===i?u.maxX:u.maxY;if(p>=r&&d<n)l.push(u);else if(!(d<r||p>=n)){var m=[];if(\"Point\"===h||\"MultiPoint\"===h)st(f,m,r,n,i);else if(\"LineString\"===h)lt(f,m,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===h)ut(f,m,r,n,i,!1);else if(\"Polygon\"===h)ut(f,m,r,n,i,!0);else if(\"MultiPolygon\"===h)for(var g=0;g<f.length;g++){var v=[];ut(f[g],v,r,n,i,!0),v.length&&m.push(v)}if(m.length){if(s.lineMetrics&&\"LineString\"===h){for(g=0;g<m.length;g++)l.push(Q(u.id,h,m[g],u.tags));continue}\"LineString\"!==h&&\"MultiLineString\"!==h||(1===m.length?(h=\"LineString\",m=m[0]):h=\"MultiLineString\"),\"Point\"!==h&&\"MultiPoint\"!==h||(h=3===m.length?\"Point\":\"MultiPoint\"),l.push(Q(u.id,h,m,u.tags))}}}return l.length?l:null}function st(t,e,r,n,i){for(var a=0;a<t.length;a+=3){var o=t[a+i];o>=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function lt(t,e,r,n,i,a,o){for(var 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r=[],n=0;n<t.length;n++){var i,a=t[n],o=a.type;if(\"Point\"===o||\"MultiPoint\"===o||\"LineString\"===o)i=mt(a.geometry,e);else if(\"MultiLineString\"===o||\"Polygon\"===o){i=[];for(var s=0;s<a.geometry.length;s++)i.push(mt(a.geometry[s],e))}else if(\"MultiPolygon\"===o)for(i=[],s=0;s<a.geometry.length;s++){for(var l=[],c=0;c<a.geometry[s].length;c++)l.push(mt(a.geometry[s][c],e));i.push(l)}r.push(Q(a.id,o,i,a.tags))}return r}function mt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function gt(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(vt(c[n],c[n+1],e,a,o,s));else for(n=0;n<c.length;n++){var f=[];for(i=0;i<c[n].length;i+=2)f.push(vt(c[n][i],c[n][i+1],e,a,o,s));l.geometry.push(f)}}return t.transformed=!0,t}function 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u={},e.tags)u[f]=e.tags[f];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:u};null!==e.id&&(h.id=e.id),t.features.push(h)}}function bt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function _t(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)tt(r,t.features[n],e,n);else\"Feature\"===t.type?tt(r,t,e):tt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=ot(t,1,-1-r,r,0,-1,2,e),a=ot(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=ot(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=dt(i,1).concat(n)),a&&(n=n.concat(dt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function wt(t,e,r){return 32*((1<<t)*r+e)+t}function Tt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}U.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new N(s,Z,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,Z,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u<f.length;u+=1){var h=f[u],p=l.points[h];c.push(p.numPoints?q(p):this.points[p.index])}return c},U.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],f=i.points[u];f.parentId===t&&s.push(f.numPoints?q(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},U.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},U.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},U.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},U.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},U.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?G(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},U.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},U.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],f=u.within(c.x,c.y,s),h=c.numPoints||1,p=c.x*h,d=c.y*h,m=o&&h>1?this._map(c,!0):null,g=(l<<5)+(e+1)+this.points.length,v=0,y=f;v<y.length;v+=1){var x=y[v],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(m||(m=this._map(c,!0)),o(m,this._map(b)))}}1===h?r.push(c):(c.parentId=g,r.push(V(p/h,d/h,g,h,m)))}}return r},U.prototype._getOriginId=function(t){return t-this.points.length>>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,f=wt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time(\"creation\"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){c>1&&console.time(\"clipping\");var m,g,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;m=g=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(m=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),g=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(m||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=wt(t,e=(e%o+o)%o,r);if(this.tiles[s])return gt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?gt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=h[1],m=t.createExpression(d),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=m.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new _t(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON 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t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!t||4===t.length&&(!(t[0]<0||e.data.width<t[0])&&(!(t[1]<0||e.data.height<t[1])&&(!(t[2]<0||e.data.width<t[2])&&(!(t[3]<0||e.data.height<t[3])&&(!(t[2]<t[0])&&!(t[3]<t[1]))))))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c+h,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,m=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-m,n[1]=+m;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+m}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?m:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?m:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1){(0,o[i])(t,e)}delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var m=n-Math.abs(d);p=Math.sqrt(h*h+m*m)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function A(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var M=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};M.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},M.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,f=Math.max(c,u),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var 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e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(_t),kt=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new wt(t,a),n&&(this.depthAttachment=new Tt(t,a))};kt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var At=function(t,e,r){this.func=t,this.mask=e,this.range=r};At.ReadOnly=!1,At.ReadWrite=!0,At.disabled=new At(519,At.ReadOnly,[0,1]);var Mt=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Mt.disabled=new Mt({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new q(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new mt(this),this.bindElementBuffer=new gt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Lt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Lt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Lt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Lt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Lt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Lt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],m=this._tiles[p];if(m&&!(m.fadeEndTime&&m.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),c[g.tileID.key]=g.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],m=this._tiles[d.key];if(!m.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],v=this.getTile(g);if(v&&v.hasData()){n[g.key]=g;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=m.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(m=this.getTile(_))&&x&&(m=this._addTile(_)),m&&(n[_.key]=_,x=m.wasRequested(),m.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,m=0,g=c;m<g.length;m+=1){var v=g[m];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,m=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/m,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-g<t.EXTENT&&v[0].y-g<t.EXTENT&&v[1].x+g>=0&&v[1].y+g>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:m})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new Ot);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[zt]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function Ht(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function qt(t,e,r,n){Ht(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Xt(t,e){return t[e.id]=e,t}function Zt(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Ht(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):qt(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Xt,{}),d=r.reduce(Xt,{}),m=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],m[m.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.lastIndexOf(o,m.length-a),1)):a++,c=m[m.length-i],n.push({command:Ut.addLayer,args:[d[o],c]}),m.splice(m.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=m[m.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}var Jt=function(t,e){this.reset(t,e)};Jt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Jt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Qt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function $t(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function te(e,r){var n=[e.x,e.y,0,1];fe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ee(t,e){return.5+t/e*.5}function re(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,m=n.transform.width/n.transform.height,g=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!g)ue(y.numGlyphs,h);else{g=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),re(x,f)){var b=x[3],_=ee(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(c,u,y),T=s?w/_:w*_,k=new t.Point(y.anchorX,y.anchorY),A=te(k,a).point,M={},S=oe(y,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&oe(y,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m).notEnoughRoom)&&ue(y.numGlyphs,h)}else ue(y.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function ie(t,e,r,n,i,a,o,s,l,c,u){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),m=e.getoffsetX(f-1),g=le(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!g)return null;var v=le(t*m,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:g,last:v}:null}function ae(e,r,n,i){if(e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=r/24,v=e.lineOffsetX*g,y=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(g,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}m=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)m.push(le(g*l.getoffsetX(M),v,y,n,f,h,e.segment,b,_,c,o,p));m.push(w.last)}else{if(i&&!n){var S=te(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=te(L,a),P=C.signedDistanceFromCamera>0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(g*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};m=[O]}for(var z=0,D=m;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function se(t,e,r,n,i){var a=te(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function le(e,r,n,i,a,o,s,l,c,u,f,h){var p=i?e-r:e+r,d=p>0?1:-1,m=0;i&&(d*=-1,m=Math.PI),d<0&&(m+=Math.PI);for(var g=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=c)return null;if(y=v,w.push(v),void 0===(v=h[g])){var T=new t.Point(u.getx(g),u.gety(g)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[g]=k.point;else{var A=g-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=m+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-f,y1:u-f,x2:c+f,y2:u+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var m=this.circleCells[i];if(null!==m)for(var g=this.circles,v=0,y=m;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Kt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var f=this.bboxes,h=0,p=u;h<p.length;h+=1){var d=p[h];if(!c.box[d]){c.box[d]=!0;var m=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[m+0],f[m+1],f[m+2],f[m+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var v=this.circles,y=0,x=g;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Kt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Kt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Kt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Kt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ce,3*n)}}function fe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Kt(t.width+200,t.height+200,25)),void 0===r&&(r=new Kt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function pe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,f,h,p){var d=[],m=new t.Point(r.anchorX,r.anchorY),g=te(m,o),v=ee(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=te(m,s).point,b=ie(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,m,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Jt,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var I=1;I<L.path.length;I++)C.push(L.path[I]);var O=2.5*k;if(l){var z=C.map((function(t){return te(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V=0;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/O)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Y=G.x+100,W=G.y+100;d.push(Y,W,k,0);var X=Y-k,Z=W-k,J=Y+k,K=W+k;if(T=T&&this.isOffscreen(X,Z,J,K),w=w||this.isInsideGrid(X,Z,J,K),!e&&this.grid.hitTestCircle(Y,W,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var m=d[p],g=m.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var v=[new t.Point(m.x1,m.y1),new t.Point(m.x2,m.y1),new t.Point(m.x2,m.y2),new t.Point(m.x1,m.y2)];t.polygonIntersectsPolygon(r,v)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},he.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return fe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var de=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};de.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new de(t?t.text:null,e,r,i),this.icon=new de(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},ve=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ye=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},xe=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function be(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function _e(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}xe.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var we=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new xe(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Te(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}we.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=pe(n,1,this.transform.zoom),m=Qt(f,h,p,this.transform,d),g=null;if(h){var v=$t(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ye(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:m,labelToScreenMatrix:g,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},we.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=[f.textOffset0,f.textOffset1],v=be(t,r,n,g,i),y=this.collisionIndex.placeCollisionBox(_e(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(d&&0===this.collisionIndex.placeCollisionBox(_e(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return;if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(m=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:m},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,m=a.collisionGroup,g=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length;i+=1){if(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),L&&L.box&&L.box.length)break}else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],v=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,c,b,_,f,l,m,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,m.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,m.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,m.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,m.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,m.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt<P.circles.length;tt+=4)$.circles.push(P.circles[tt+0]),$.circles.push(P.circles[tt+1]),$.circles.push(P.circles[tt+2]),$.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new ge(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},we.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},we.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new me(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var f=i[u];if(!this.opacities[u]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[u]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},we.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},we.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),c=a.get(\"text-variable-anchor\"),u=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},m=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,m=a.crossTileID,g=r[m],v=i.opacities[m];g?v=o:v||(v=p,i.opacities[m]=v),r[m]=!0;var y=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[m];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},g=0;g<e.symbolInstances.length;g++)m(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},we.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},we.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},we.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},we.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new we(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Re.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=De/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Re.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Fe=function(){this.maxCrossTileID=0};Fe.prototype.generate=function(){return++this.maxCrossTileID};var Be=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Be.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Be.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++){e.symbolInstances.get(n).crossTileID=0}this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Re(t,e.symbolInstances,e.bucketInstanceId),!0},Be.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Be.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ne=function(){this.layerIndexes={},this.crossTileIDs=new Fe,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ne.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Be);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ne.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var je=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},Ue=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ve=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),He=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a=null;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),qe=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Ne,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if((t.triggerPluginCompletionEvent(e),r)&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(He,!1)},r.prototype._load=function(e,r){if(!r||!je(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,m=l.stretchX,g=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:m,stretchY:g,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),je(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=Zt(this.serialize(),e).filter((function(t){return!(t.command in Ve)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in Ue)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1){var h=f[u];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var m=this._order[d];if(r(m))for(var g=i.length-1;g>=0;g--){var v=i[g].feature;if(n[v.layer.id]<d)break;p.push(v),i.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][m];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1){var h=f[u];c.push(o[h])}c.sort(B);for(var p=function(){var r=m[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1){var h=f[u];o.push(h)}}},d=0,m=c;d<m.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var v in s)g(v);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&je(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers){this._layers[e].setEventedParent(null)}for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var m=0,g=this._order;m<g.length;m+=1){var v=g[m],y=this._layers[v];\"symbol\"===y.type&&this.placement.updateLayerOpacities(y,l[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var Ge=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ye=yr(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),We=yr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Xe=yr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Ze=yr(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Je=yr(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ke=yr(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),Qe=yr(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),$e=yr(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),tr=yr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),er=yr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),rr=yr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),nr=yr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ir=yr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),or=yr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),sr=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),lr=yr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),cr=yr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),ur=yr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),fr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=yr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),pr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),dr=yr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=yr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),gr=yr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),vr=yr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function yr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:mr,symbolSDF:gr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},br.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1){p[h].enableAttributes(u,t)}a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,m=r;d<m.length;d+=1){var g=m[d];g.bind(),g.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},br.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var _r=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Ye.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ye.vertexSource,e.vertexSource).join(\"\\n\"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var m=a.getActiveAttrib(this.program,d);m&&(this.attributes[m.name]=a.getAttribLocation(this.program,m.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<g;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function wr(t,e,r){var n=1/pe(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[v.LINES]=2,g[v.TRIANGLES]=3,g[v.LINE_STRIP]=1,g)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,m),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Hr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var m=i[d],g=r.getTile(m),v=g.getBucket(n);if(v){var y=m.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(m.posMatrix,g,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],I=E.circleArray[C+1],O=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,I,O,z,0),k.emplace(A++,P,I,O,z,1),k.emplace(A++,P,I,O,z,2),k.emplace(A++,P,I,O,z,3)}(!qr||qr.length<2*h)&&(qr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(qr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Pr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Qr=t.identity(new Float32Array(16));function $r(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function tn(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,m={};p.clear();for(var g=0;g<h.length;g++){var v=h.get(g),y=e.allowVerticalPlacement&&!v.placedOrientation,x=v.hidden||!v.crossTileID||y?null:i[v.crossTileID];if(x){var b=new t.Point(v.anchorX,v.anchorY),_=te(b,n?l:s),w=ee(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,v)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=$r(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?te(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<v.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&v.associatedIconIndex>=0&&(m[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var I=C.get(P);if(I.hidden)ue(I.numGlyphs,d);else{var O=m[P];if(O)for(var z=0;z<I.numGlyphs;z++)t.addDynamicAttributes(d,O.shiftedAnchor,O.angle);else ue(I.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function en(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function rn(e,r,n,i,a,o,s,l,c,u,f,h){for(var p=e.context,d=p.gl,m=e.transform,g=\"map\"===l,v=\"map\"===c,y=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!v&&!y,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,At.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,I=a?E.textSizeData:E.iconSizeData,O=v||0!==m.pitch,z=e.useProgram(en(P,a,E),C),D=t.evaluateSizeForZoom(I,m.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===I.kind||\"camera\"===I.kind;U=O||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||O?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=pe(S,1,e.transform.zoom),G=Qt(M.posMatrix,v,g,e.transform,q),Y=$t(M.posMatrix,v,g,e.transform,q),W=w&&E.hasTextData(),X=\"none\"!==n.layout.get(\"icon-text-fit\")&&W&&E.hasIconData();y&&ne(E,M.posMatrix,e,a,G,Y,v,u);var Z=e.translatePosMatrix(M.posMatrix,S,o,s),J=y||a&&w||X?Qr:G,K=e.translatePosMatrix(Y,S,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),$={program:z,buffers:L,uniformValues:P?E.iconsInText?Wr(I.kind,D,x,v,e,Z,J,K,R,F):Yr(I.kind,D,x,v,e,Z,J,K,a,R,!0):Gr(I.kind,D,x,v,e,Z,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:Q};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:$})}else T.push({segments:L.segments,sortKey:0,state:$})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function nn(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function an(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),m=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,v=n;g<v.length;g+=1){var y=v[g],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(m));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Er(S,t,m,x,E):Sr(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Mr(S,t,m,x):Ar(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,f,r.paint,t.transform.zoom,_)}}}}function on(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var m=d[p],g=e.getTile(m),v=g.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f));var b=c.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(m.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?kr(k,t,A,h,m,f,g):Tr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,M,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function sn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=function(t,e,r){var n=r.paint.get(\"hillshade-shadow-color\"),i=r.paint.get(\"hillshade-highlight-color\"),a=r.paint.get(\"hillshade-accent-color\"),o=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Dr(t,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),o],u_shadow:n,u_highlight:i,u_accent:a}}(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function ln(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var f=u.dim,h=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var m=r.fbo;if(!m){var g=new t.Texture(l,{width:f,height:f,data:null},c.RGBA);g.bind(c.LINEAR,c.CLAMP_TO_EDGE),(m=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(m.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,a,o,s,Et.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function cn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function mn(t){var e=t.transform.padding;gn(t,t.transform.height-(e.top||0),3,un),gn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function gn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,m=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+\" \"+p+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,m),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),m=d.getBucket(n);if(m&&m.text&&m.text.segments.get().length){var g=m.textSizeData,v=t.evaluateSizeForZoom(g,l.zoom),y=pe(d,1,r.transform.zoom),x=Qt(p.posMatrix,u,c,r.transform,y),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&m.hasIconData();if(v){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);tn(m,c,u,s,t.symbolSize,l,x,p.posMatrix,_,v,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&rn(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&rn(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Kr(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Kr(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,f=e.depthModeForSublayer(0,At.ReadOnly),h=Mt.disabled,p=e.colorModeForRenderPass(),d=[],m=0;m<i.length;m++){var g=i[m],v=r.getTile(g),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Lr(e,g,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,I=S.uniformValues,O=M.segments;L.draw(c,u.TRIANGLES,f,h,p,Et.disabled,I,n.id,C,P,O,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Mt.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var f=r.getTile(u),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),m=e.transform.zoom;d.draw(a,o.TRIANGLES,At.disabled,s,l,Et.disabled,zr(u.posMatrix,f,m,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(!a)return;n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA));o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,At.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),f=u.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":c?\"lineSDF\":h?\"lineGradient\":\"line\",m=e.context,g=m.gl,v=!0;if(h){m.activeTexture.set(g.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(m,n.gradient,g.RGBA)),y.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=v||M.program!==A,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var I=f?Br(e,w,n,p):c?Nr(e,w,n,c,p):h?Fr(e,w,n):Rr(e,w,n);f?(m.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(m.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(m)),M.draw(m,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?At.ReadWrite:At.ReadOnly);an(e,r,n,i,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,At.ReadOnly);an(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))on(t,e,r,n,a,Mt.disabled,St.disabled),on(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();on(t,e,r,n,a,Mt.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,At.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,f=l[1];u<f.length;u+=1){var h=f[u],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?ln(t,p,r,a,o,Mt.disabled,s):\"translucent\"===t.renderPass&&sn(t,p,r,o,c[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],f=c[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,m=f;d<m.length;d+=1){var g=m[d],v=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?At.ReadWrite:At.ReadOnly,a.LESS),y=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=cn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Vr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,v,Mt.disabled,l,Et.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[g.overscaledZ],l,Et.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var f=Mt.disabled,h=t.depthModeForSublayer(0,\"opaque\"===u?At.ReadWrite:At.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),m=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),v=0,y=m;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Zr(b,i,t,c,{tileID:x,tileSize:l},g):Xr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)xn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Mt.disabled);var o=\"3d\"===i.renderingMode?new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,At.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},_n=function(t,e){this.context=new Lt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ne,this.gpuTimers={}};_n.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},_n.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ge.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ge.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ge.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Mt({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},_n.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,At.disabled,this.stencilClearMode,St.disabled,Et.disabled,Or(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},_n.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,At.disabled,new Mt({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Or(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},_n.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Mt({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Mt.disabled,e),n]},_n.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){return new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},_n.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return At.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new At(r||this.context.gl.LEQUAL,e,[n,n])},_n.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},_n.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},f={},h={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),f[p]=u[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var m=0;m<i.length;m++){var g=i[m];if(this.style._layers[g].is3D()){this.opaquePassCutoff=m;break}}this.renderPass=\"offscreen\";for(var v=0,y=i;v<y.length;v+=1){var x=y[v],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&bn.debug(this,l,l.getVisibleCoordinates()));this.options.showPadding&&mn(this),this.context.setDefault()},_n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),bn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},_n.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},_n.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},_n.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},_n.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},_n.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:pe(r,n[0],this.transform.zoom),a?n[1]:pe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},_n.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},_n.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Tn(n,i)},Tn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Tn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Tn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];c=Math.min(c,h),u=Math.max(u,h)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};An.prototype.clone=function(){var t=new An(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Mn.zoom.get=function(){return this._zoom},Mn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var m=u.pop(),g=m.x,v=m.y,y=m.fullyVisible;if(!y){var x=m.aabb.intersects(s);if(0===x)continue;y=2===x}var b=m.aabb.distanceX(o),_=m.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-m.zoom)-2;if(m.zoom===h||w>T&&m.zoom>=l)f.push({tileID:new t.OverscaledTileID(m.zoom===h?p:m.zoom,m.wrap,m.zoom,g,v),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:A,y:M,wrap:m.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},An.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},An.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},An.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var m=p.y,g=c.y/2;m-g<a&&(i=a+g),m+g>o&&(i=o-g)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),m=Math.sin(this.angle),g=s-Math.round(s)+d*h+m*p,v=l-Math.round(l)+d*p+m*h,y=new Float64Array(f);if(t.translate(y,y,[g>.5?g-1:g,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(An.prototype,Mn);var Sn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Sn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Sn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Sn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+u):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},Sn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},Sn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Dn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}On.prototype.clear=function(){this._inertiaBuffer=[]},On.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},On.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Dn(r.pan.mag(),o,t.extend({},Ln,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,zn(s,l)}if(r.zoom){var c=Dn(r.zoom,o,Cn);s.zoom=this._map.transform.zoom+c.amount,zn(s,c)}if(r.bearing){var u=Dn(r.bearing,o,Pn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),zn(s,u)}if(r.pitch){var f=Dn(r.pitch,o,In);s.pitch=this._map.transform.pitch+f.amount,zn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Rn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Fn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Bn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Nn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Nn.prototype.reset=function(){delete this._mousedownPos},Nn.prototype.wheel=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Nn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseup=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Un.prototype.isEnabled=function(){return!!this._enabled},Un.prototype.isActive=function(){return!!this._active},Un.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Un.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Un.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Un.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Un.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Un.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Un.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Un.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Hn=function(t){this.reset(),this.numTouches=t.numTouches};Hn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Hn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Vn(n,r)))},Hn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Vn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Hn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Yn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Yn),Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Zn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Jn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Jn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Jn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Jn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Jn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(){this.reset()};function Qn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Kn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Kn.prototype._start=function(t){},Kn.prototype._move=function(t,e,r){return{}},Kn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Kn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=Qn(r,e,i),s=Qn(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Kn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=Qn(n,e,a),l=Qn(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Kn.prototype.touchcancel=function(){this.reset()},Kn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};function $n(t,e){return Math.log(t/e)/Math.LN2}var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs($n(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:$n(this._distance,r),pinchAround:e}},e}(Kn);function ei(t,e){return 180*t.angleWith(e)/Math.PI}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ei(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ei(t,this._startVector);return Math.abs(r)<e},e}(Kn);function ni(t){return Math.abs(t.y)>Math.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var mi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};yi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},yi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Nn(e,t));var n=e.boxZoom=new Un(e,t);this._add(\"boxZoom\",n);var i=new Gn,a=new ui;e.doubleClickZoom=new ci(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new fi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ii;this._add(\"touchPitch\",s);var l=new Xn(t),c=new Zn(t);e.dragRotate=new pi(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Wn(t),f=new Jn(t);e.dragPan=new hi(r,u,f),this._add(\"mousePan\",u),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ri,p=new ti;e.touchZoomRotate=new di(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new li(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var m=e.keyboard=new oi;this._add(\"keyboard\",m),this._add(\"blockableMapEvent\",new jn(e));for(var g=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<v.length;g+=1){var y=v[g];t.interactive&&t[y]&&e[y].enable(t[y])}},yi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},yi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1){e[t].handler.reset()}this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},yi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1){if(e[t].handler.isActive())return!0}return!1},yi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},yi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},yi.prototype.isMoving=function(){return Boolean(mi(this._eventsInProgress))||this.isZooming()},yi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},yi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},yi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},yi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var m=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(m=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,m,h,n),m&&m.needsRenderFrame&&this._triggerRenderFrame()),(m||p.isActive())&&(o[h]=p)}}var g={};for(var v in this._previousActiveHandlers)o[v]||(g[v]=n);this._previousActiveHandlers=o,(Object.keys(g).length||vi(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||vi(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},yi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},yi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},yi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!vi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},yi.prototype._fireEvents=function(e,r){var n=this,i=mi(this._eventsInProgress),a=mi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var c in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(c,o[c]);for(var u in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[u].originalEvent;this._fireEvent(u,f)}var h,p={};for(var d in this._eventsInProgress){var m=this._eventsInProgress[d],g=m.handlerName,v=m.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||v,p[d+\"end\"]=h)}for(var y in p)this._fireEvent(y,p[y]);var x=mi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},yi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new gi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var xi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),m=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/m.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/m.y;if(!(v<0||g<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(g,v)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(w)),zoom:y,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),m=i.pointLocation(d),g=t.LngLat.convert(e.center||m);this._normalizeCenter(g);var v,y,x=i.project(m),b=i.project(g).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var m=i.zoomScale(i.zoom-a),g=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(m));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),v=a.pointLocation(g),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;z=Math.abs(Math.log(T/w))/_,O=function(){return 0},I=function(t){return Math.exp(D*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*z/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),g=a.centerPoint.add(m));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};bi.prototype.getDefaultPosition=function(){return\"bottom-right\"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},bi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},bi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var _i=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\"bottom-left\"},_i.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},wi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},wi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ti={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},ki=t.window.HTMLImageElement,Ai=t.window.HTMLElement,Mi=t.window.ImageBitmap,Si={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ei=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Si,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ai))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof ki||Mi&&r instanceof Mi){var c=t.browser.getImageData(r),u=c.width,f=c.height,h=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,m=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(m)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof ki||Mi&&r instanceof Mi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof ki||Mi&&r instanceof Mi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new _n(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1){r[e].onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Li(this._canvasContainer),Li(this._controlContainer),Li(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(xi);function Li(t){t.parentNode&&t.parentNode.removeChild(t)}var Ci={showCompass:!0,showZoom:!0,visualizePitch:!1},Pi=function(e){var n=this;this.options=t.extend({},Ci,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Pi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Pi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Pi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ii(this._map,this._compass,this.options.visualizePitch)),this._container},Pi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Pi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Pi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ii=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Xn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Zn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Oi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ii.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var zi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Di(t,e,r){var n=t.classList;for(var i in zi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Ri,Fi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<f.length;u+=1){var h=f[u],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");m.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(m);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),g.appendChild(v);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(g),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Di(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,zi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Bi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Ni=0,ji=!1,Ui=function(e){function n(r){e.call(this),this.options=t.extend({},Bi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Ri?n(Ri):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Ri=\"denied\"!==t.state,n(Ri)})):(Ri=!!t.window.navigator.geolocation,n(Ri)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ni=0,ji=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ni--,ji=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:\"metric\"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\"));else Gi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else if(r&&\"nautical\"===r.unit){Gi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Gi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\"\"+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Hi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?[\"top\"]:a.y>this._map.transform.height-u?[\"bottom\"]:[],a.x<c/2?l.push(\"left\"):a.x>this._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Zi})),r}))},{}],240:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],241:[function(t,e,r){\"use strict\";e.exports=function(t,e){e||(e=t,t=window);var r=0,i=0,a=0,o={shift:!1,alt:!1,control:!1,meta:!1},s=!1;function l(t){var e=!1;return\"altKey\"in t&&(e=e||t.altKey!==o.alt,o.alt=!!t.altKey),\"shiftKey\"in t&&(e=e||t.shiftKey!==o.shift,o.shift=!!t.shiftKey),\"ctrlKey\"in t&&(e=e||t.ctrlKey!==o.control,o.control=!!t.ctrlKey),\"metaKey\"in t&&(e=e||t.metaKey!==o.meta,o.meta=!!t.metaKey),e}function c(t,s){var c=n.x(s),u=n.y(s);\"buttons\"in s&&(t=0|s.buttons),(t!==r||c!==i||u!==a||l(s))&&(r=0|t,i=c||0,a=u||0,e&&e(r,i,a,o))}function u(t){c(0,t)}function f(){(r||i||a||o.shift||o.alt||o.meta||o.control)&&(i=a=0,r=0,o.shift=o.alt=o.control=o.meta=!1,e&&e(0,0,0,o))}function h(t){l(t)&&e&&e(r,i,a,o)}function p(t){0===n.buttons(t)?c(0,t):c(r,t)}function d(t){c(r|n.buttons(t),t)}function m(t){c(r&~n.buttons(t),t)}function g(){s||(s=!0,t.addEventListener(\"mousemove\",p),t.addEventListener(\"mousedown\",d),t.addEventListener(\"mouseup\",m),t.addEventListener(\"mouseleave\",u),t.addEventListener(\"mouseenter\",u),t.addEventListener(\"mouseout\",u),t.addEventListener(\"mouseover\",u),t.addEventListener(\"blur\",f),t.addEventListener(\"keyup\",h),t.addEventListener(\"keydown\",h),t.addEventListener(\"keypress\",h),t!==window&&(window.addEventListener(\"blur\",f),window.addEventListener(\"keyup\",h),window.addEventListener(\"keydown\",h),window.addEventListener(\"keypress\",h)))}g();var v={element:t};return Object.defineProperties(v,{enabled:{get:function(){return s},set:function(e){e?g():function(){if(!s)return;s=!1,t.removeEventListener(\"mousemove\",p),t.removeEventListener(\"mousedown\",d),t.removeEventListener(\"mouseup\",m),t.removeEventListener(\"mouseleave\",u),t.removeEventListener(\"mouseenter\",u),t.removeEventListener(\"mouseout\",u),t.removeEventListener(\"mouseover\",u),t.removeEventListener(\"blur\",f),t.removeEventListener(\"keyup\",h),t.removeEventListener(\"keydown\",h),t.removeEventListener(\"keypress\",h),t!==window&&(window.removeEventListener(\"blur\",f),window.removeEventListener(\"keyup\",h),window.removeEventListener(\"keydown\",h),window.removeEventListener(\"keypress\",h))}()},enumerable:!0},buttons:{get:function(){return r},enumerable:!0},x:{get:function(){return i},enumerable:!0},y:{get:function(){return a},enumerable:!0},mods:{get:function(){return o},enumerable:!0}}),v};var n=t(\"mouse-event\")},{\"mouse-event\":243}],242:[function(t,e,r){var n={left:0,top:0};e.exports=function(t,e,r){e=e||t.currentTarget||t.srcElement,Array.isArray(r)||(r=[0,0]);var i=t.clientX||0,a=t.clientY||0,o=(s=e,s===window||s===document||s===document.body?n:s.getBoundingClientRect());var s;return r[0]=i-o.left,r[1]=a-o.top,r}},{}],243:[function(t,e,r){\"use strict\";function n(t){return t.target||t.srcElement||window}r.buttons=function(t){if(\"object\"==typeof t){if(\"buttons\"in t)return t.buttons;if(\"which\"in t){if(2===(e=t.which))return 4;if(3===e)return 2;if(e>0)return 1<<e-1}else if(\"button\"in t){var e;if(1===(e=t.button))return 4;if(2===e)return 2;if(e>=0)return 1<<e}}return 0},r.element=n,r.x=function(t){if(\"object\"==typeof t){if(\"offsetX\"in t)return t.offsetX;var e=n(t).getBoundingClientRect();return t.clientX-e.left}return 0},r.y=function(t){if(\"object\"==typeof t){if(\"offsetY\"in t)return t.offsetY;var e=n(t).getBoundingClientRect();return t.clientY-e.top}return 0}},{}],244:[function(t,e,r){\"use strict\";var n=t(\"to-px\");e.exports=function(t,e,r){\"function\"==typeof t&&(r=!!e,e=t,t=window);var i=n(\"ex\",t),a=function(t){r&&t.preventDefault();var n=t.deltaX||0,a=t.deltaY||0,o=t.deltaZ||0,s=1;switch(t.deltaMode){case 1:s=i;break;case 2:s=window.innerHeight}if(a*=s,o*=s,(n*=s)||a||o)return e(n,a,o,t)};return t.addEventListener(\"wheel\",a),a}},{\"to-px\":314}],245:[function(t,e,r){(function(t,r){(function(){\n",
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       "/*\n",
       " * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
       " * @license MIT\n",
       " * @preserve Project Home: https://github.com/voidqk/polybooljs\n",
       " */\n",
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r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var u=[];function f(t){var e=[c(t.region,!1)];u.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return c(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return u.length<=0?{type:\"Polygon\",coordinates:[]}:1==u.length?{type:\"Polygon\",coordinates:u[0]}:{type:\"MultiPolygon\",coordinates:u}}};e.exports=n},{}],258:[function(t,e,r){var n=t(\"./linked-list\");e.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return function(t,r,n,i,a,o){var s=e.pointsCompare(r,a);return 0!==s?s:e.pointsSame(n,o)?0:t!==i?t?1:-1:e.pointAboveOrOnLine(n,i?a:o,i?o:a)?1:-1}(t.isStart,t.pt,r,n.isStart,n.pt,n.other.pt)<0}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function c(i,o){var s=n.create();function c(t){return s.findTransition((function(r){var n,i,a,o,s,l;return(n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,c,u);if(!1===f){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var h=e.pointsSame(o,c),p=e.pointsSame(s,u);if(h&&p)return n;var d=!h&&e.pointBetween(o,c,u),m=!p&&e.pointBetween(s,c,u);if(h)return m?l(n,s):l(t,u),n;d&&(p||(m?l(n,s):l(t,u)),l(n,o))}else 0===f.alongA&&(-1===f.alongB?l(t,c):0===f.alongB?l(t,f.pt):1===f.alongB&&l(t,u)),0===f.alongB&&(-1===f.alongA?l(n,o):0===f.alongA?l(n,f.pt):1===f.alongA&&l(n,s));return!1}for(var f=[];!a.isEmpty();){var h=a.getHead();if(r&&r.vert(h.pt[0]),h.isStart){r&&r.segmentNew(h.seg,h.primary);var p=c(h),d=p.before?p.before.ev:null,m=p.after?p.after.ev:null;function g(){if(d){var t=u(h,d);if(t)return t}return!!m&&u(h,m)}r&&r.tempStatus(h.seg,!!d&&d.seg,!!m&&m.seg);var v,y=g();if(y){var x;if(t)(x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else y.seg.otherFill=h.seg.myFill;r&&r.segmentUpdate(y.seg),h.other.remove(),h.remove()}if(a.getHead()!==h){r&&r.rewind(h.seg);continue}if(t)x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=m?m.seg.myFill.above:i,h.seg.myFill.above=x?!h.seg.myFill.below:h.seg.myFill.below;else if(null===h.seg.otherFill)v=m?h.primary===m.primary?m.seg.otherFill.above:m.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:v,below:v};r&&r.status(h.seg,!!d&&d.seg,!!m&&m.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&u(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var _=h.seg.myFill;h.seg.myFill=h.seg.otherFill,h.seg.otherFill=_}f.push(h.seg)}a.getHead().remove()}return r&&r.done(),f}return t?{addRegion:function(t){for(var n,i,a,o=t[t.length-1],l=0;l<t.length;l++){n=o,o=t[l];var c=e.pointsCompare(n,o);0!==c&&s((i=c<0?n:o,a=c<0?o:n,{id:r?r.segmentId():-1,start:i,end:a,myFill:{above:null,below:null},otherFill:null}),!0)}},calculate:function(t){return c(t,!1)}}:{calculate:function(t,e,r,n){return t.forEach((function(t){s(i(t.start,t.end,t),!0)})),r.forEach((function(t){s(i(t.start,t.end,t),!1)})),c(e,n)}}}},{\"./linked-list\":259}],259:[function(t,e,r){e.exports={create:function(){var t={root:{root:!0,next:null},exists:function(e){return null!==e&&e!==t.root},isEmpty:function(){return null===t.root.next},getHead:function(){return t.root.next},insertBefore:function(e,r){for(var n=t.root,i=t.root.next;null!==i;){if(r(i))return e.prev=i.prev,e.next=i,i.prev.next=e,void(i.prev=e);n=i,i=i.next}n.next=e,e.prev=n,e.next=null},findTransition:function(e){for(var r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},{}],260:[function(t,e,r){e.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},c=s,u=0;u<n.length;u++){var f=(g=n[u])[0],h=(g[1],g[g.length-1]);g[g.length-2];if(e.pointsSame(f,a)){if(k(u,!0,!0))break}else if(e.pointsSame(f,o)){if(k(u,!0,!1))break}else if(e.pointsSame(h,a)){if(k(u,!1,!0))break}else if(e.pointsSame(h,o)&&k(u,!1,!1))break}if(c===s)return n.push([a,o]),void(r&&r.chainNew(a,o));if(c===l){r&&r.chainMatch(s.index);var p=s.index,d=s.matches_pt1?o:a,m=s.matches_head,g=n[p],v=m?g[0]:g[g.length-1],y=m?g[1]:g[g.length-2],x=m?g[g.length-1]:g[0],b=m?g[g.length-2]:g[1];return e.pointsCollinear(y,v,d)&&(m?(r&&r.chainRemoveHead(s.index,d),g.shift()):(r&&r.chainRemoveTail(s.index,d),g.pop()),v=y),e.pointsSame(x,d)?(n.splice(p,1),e.pointsCollinear(b,x,v)&&(m?(r&&r.chainRemoveTail(s.index,v),g.pop()):(r&&r.chainRemoveHead(s.index,v),g.shift())),r&&r.chainClose(s.index),void i.push(g)):void(m?(r&&r.chainAddHead(s.index,d),g.unshift(d)):(r&&r.chainAddTail(s.index,d),g.push(d)))}var _=s.index,w=l.index;r&&r.chainConnect(_,w);var T=n[_].length<n[w].length;s.matches_head?l.matches_head?T?(A(_),M(_,w)):(A(w),M(w,_)):M(w,_):l.matches_head?M(_,w):T?(A(_),M(w,_)):(A(w),M(_,w))}function k(t,e,r){return c.index=t,c.matches_head=e,c.matches_pt1=r,c===s?(c=l,!1):(c=null,!0)}function A(t){r&&r.chainReverse(t),n[t].reverse()}function M(t,i){var a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},{}],261:[function(t,e,r){function n(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var i={union:function(t,e){return n(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],e)},intersect:function(t,e){return n(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],e)},difference:function(t,e){return n(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],e)},differenceRev:function(t,e){return n(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],e)},xor:function(t,e){return n(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],e)}};e.exports=i},{}],262:[function(t,e,r){\"use strict\";var n=t(\"stream\").Transform,i=t(\"stream-parser\");function a(){n.call(this,{readableObjectMode:!0})}function o(t,e,r){Error.call(this),Error.captureStackTrace?Error.captureStackTrace(this,this.constructor):this.stack=(new Error).stack||\"\",this.name=this.constructor.name,this.message=t,e&&(this.code=e),r&&(this.statusCode=r)}a.prototype=Object.create(n.prototype),a.prototype.constructor=a,i(a.prototype),r.ParserStream=a,r.sliceEq=function(t,e,r){for(var n=e,i=0;i<r.length;)if(t[n++]!==r[i++])return!1;return!0},r.str2arr=function(t,e){var r=[],n=0;if(e&&\"hex\"===e)for(;n<t.length;)r.push(parseInt(t.slice(n,n+2),16)),n+=2;else for(;n<t.length;n++)r.push(255&t.charCodeAt(n));return r},r.readUInt16LE=function(t,e){return t[e]|t[e+1]<<8},r.readUInt16BE=function(t,e){return t[e+1]|t[e]<<8},r.readUInt32LE=function(t,e){return t[e]|t[e+1]<<8|t[e+2]<<16|16777216*t[e+3]},r.readUInt32BE=function(t,e){return t[e+3]|t[e+2]<<8|t[e+1]<<16|16777216*t[e]},o.prototype=Object.create(Error.prototype),o.prototype.constructor=o,r.ProbeError=o},{stream:285,\"stream-parser\":301}],263:[function(t,e,r){\"use strict\";function n(t,e){var r=new Error(t);return r.code=e,r}function i(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function a(t,e,r){this.input=t.subarray(e,r),this.start=e;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if(\"II*\\0\"!==i&&\"MM\\0*\"!==i)throw n(\"invalid TIFF signature\",\"EBADDATA\");this.big_endian=\"M\"===i[0]}a.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},a.prototype.read_uint16=function(t){var e=this.input;if(t+2>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?256*e[t]+e[t+1]:e[t]+256*e[t+1]},a.prototype.read_uint32=function(t){var e=this.input;if(t+4>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?16777216*e[t]+65536*e[t+1]+256*e[t+2]+e[t+3]:e[t]+256*e[t+1]+65536*e[t+2]+16777216*e[t+3]},a.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},a.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},a.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return r=this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return r=this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return r=this.read_uint32(e);case 9:return 0|(r=this.read_uint32(e));case 5:case 10:case 11:case 12:case 7:default:return null}},a.prototype.scan_ifd=function(t,e,r){var a=this.read_uint16(e);e+=2;for(var o=0;o<a;o++){var s=this.read_uint16(e),l=this.read_uint16(e+2),c=this.read_uint32(e+4),u=this.exif_format_length(l),f=c*u,h=f<=4?e+8:this.read_uint32(e+8),p=!1;if(h+f>this.input.length)throw n(\"unexpected EOF\",\"EBADDATA\");for(var d=[],m=h,g=0;g<c;g++,m+=u){var v=this.exif_format_read(l,m);if(null===v){d=null;break}d.push(v)}if(Array.isArray(d)&&2===l&&(d=i(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===r({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:e+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);e+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},e.exports.ExifParser=a,e.exports.get_orientation=function(t){var e=0;try{return new a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],264:[function(t,e,r){\"use strict\";var n=t(\"./common\").readUInt16BE,i=t(\"./common\").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case\"ispe\":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case\"irot\":e.transforms.push({type:\"irot\",value:3&n.data[0]});break;case\"imir\":e.transforms.push({type:\"imir\",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;c<o;c++){var u=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),m=s(t,l+r,i);e.item_loc[u]={length:m,offset:d+h}}l+=p*(r+i)}}function c(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if(\"infe\"===s.boxtype){for(var l=n(s.data,4),c=\"\",u=8;u<s.data.length&&s.data[u];u++)c+=String.fromCharCode(s.data[u]);e.item_inf[c]=l}i=s.end}}function u(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;\"ipco\"===n.boxtype&&o(n.data,e),r=n.end}}e.exports.unbox=a,e.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;\"iprp\"===n.boxtype&&u(n.data,e),\"iloc\"===n.boxtype&&l(n.data,e),\"iinf\"===n.boxtype&&c(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(r=e.sizes,n=r.reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(\"imir\"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),\"irot\"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return e.item_inf.Exif&&(f=e.item_loc[e.item_inf.Exif]),{width:o.width,height:o.height,orientation:e.transforms.length?s:null,variants:e.sizes,exif_location:f}}},e.exports.getMimeType=function(t){var e=String.fromCharCode.apply(null,t.slice(0,4)),r={};r[e]=!0;for(var 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h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},{\"array-bounds\":71,\"color-normalize\":89,\"flatten-vertex-data\":191,\"object-assign\":247,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],280:[function(t,e,r){\"use strict\";var n=t(\"color-normalize\"),i=t(\"array-bounds\"),a=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),f=t(\"to-float32\"),h=f.float32,p=f.fract32,d=t(\"es6-weak-map\"),m=t(\"parse-rect\"),g=t(\"array-find-index\");function v(t,e){if(!(this instanceof v))return new v(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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Uint8Array})},t=a({},v.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,f<v.maxLines&&(d.depth=2*(v.maxLines-1-f%v.maxLines)/v.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(d.viewport=m(t.viewport)),d.viewport||(d.viewport=m([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var y,x;if(t.positions.x&&t.positions.y){var b=t.positions.x,_=t.positions.y;x=d.count=Math.max(b.length,_.length),y=new Float64Array(2*x);for(var w=0;w<x;w++)y[2*w]=b[w],y[2*w+1]=_[w]}else y=l(t.positions,\"float64\"),x=d.count=Math.floor(y.length/2);var T=d.bounds=i(y,2);if(d.fill){for(var k=[],A={},M=0,S=0,E=0,L=d.count;S<L;S++){var C=y[2*S],P=y[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=y[2*M],P=y[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var I=Object.keys(A).map(Number).sort((function(t,e){return t-e})),O=[],z=0,D=null!=d.hole?d.hole[0]:null;if(null!=D){var R=g(I,(function(t){return t>=D}));(I=I.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*z,2*I[t]).concat(D?k.slice(2*D):[]),r=(d.hole||[]).map((function(e){return e-D+(I[t]-z)})),n=c(e,r);n=n.map((function(e){return e+z+(e+z<I[t]?0:D-I[t])})),O.push.apply(O,n),z=I[t]+1},B=0;B<I.length;B++)F(B);for(var N=0,j=O.length;N<j;N++)null!=A[O[N]]&&(O[N]=A[O[N]]);d.triangles=O}else{for(var U=c(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(y);u(q,2,T);var G=new 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*v.dashMult*.5;ot<st;++ot)$[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:$,width:$.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ct=t.color;ct||(ct=\"transparent\");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&\"number\"!=typeof ct[0]){for(var ft=0;ft<lt;ft++){var ht=n(ct[ft],\"uint8\");ut.set(ht,4*ft)}ut.set(n(ct[0],\"uint8\"),4*lt)}else for(var pt=n(ct,\"uint8\"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ut})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var y=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&y.push(this.passes[x]);return this.passes=y,this}},v.prototype.destroy=function(){return 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o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return 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mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=f({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),g&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),m=0;m<r.length;m++){var g=r[m];d[g]=p?p[g]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,h=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=f({},b.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var g=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),g+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),g+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=m(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=v.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:v.fract32(t,p),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var f={data:a[u],type:\"uint8\",usage:\"static\"};i[u]?i[u](f):i[u]=o.buffer(f),i[u].data=a[u]}}else{i[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),g){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);A({data:M,usage:\"dynamic\"})}if(x){var E,L=n,C=L.count,P=L.color,I=L.borderColor,O=L.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=h[4*D],E[8*z+1]=h[4*D+1],E[8*z+2]=h[4*D+2],E[8*z+3]=h[4*D+3];var R=I[z];E[8*z+4]=h[4*R],E[8*z+5]=h[4*R+1],E[8*z+6]=h[4*R+2],E[8*z+7]=h[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}O({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)a.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)a.push(t.subarray(l,l+4));t=a}for(var u=0;u<t.length;u++){var f=t[u];f=s(f,\"uint8\");var h=c(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[u]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=t(\"object-assign\");e.exports=function(t,e){var r=new x(t,e),n=r.render.bind(r);return _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},{\"@plotly/point-cluster\":59,\"array-bounds\":71,\"color-id\":87,\"color-normalize\":89,\"flatten-vertex-data\":191,glslify:227,\"is-iexplorer\":233,\"object-assign\":247,\"parse-rect\":249,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],282:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"pick-by-alias\"),a=t(\"array-bounds\"),o=t(\"raf\"),s=t(\"array-range\"),l=t(\"parse-rect\"),c=t(\"flatten-vertex-data\");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x+s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y+l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency opaque\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",borderColor:\"borderColors borderColor bordercolor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range ranges databox dataBox\",viewport:\"viewport viewBox viewbox\",domain:\"domain domains area areas\",padding:\"pad padding paddings pads margin margins\",transpose:\"transpose transposed\",diagonal:\"diagonal diag showDiagonal\",upper:\"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf\",lower:\"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower\"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(c(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var m=s.columns,g=s.count,v=s.viewport.width,y=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=v/m,w=y/m;s.passes=[];for(var T=0;T<m;T++)for(var k=0;k<m;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:m},y:{buffer:s.buffer,offset:T,count:g,stride:m}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],I=E[3];M.viewport=[x+L*v+S[0],b+C*y+S[1],x+P*v-S[2],b+I*y-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],f=u.passes,h=u.passOffset;f=f.map((function(t,e){n[h+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},{\"../main\":346,\"object-assign\":247}],335:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},{\"../main\":346,\"object-assign\":247}],337:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012bs\",\"Yawm al-jum'a\",\"Yawm as-sabt\"],dayNamesShort:[\"Aha\",\"Ith\",\"Thu\",\"Arb\",\"Kha\",\"Jum\",\"Sab\"],dayNamesMin:[\"Ah\",\"It\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},{\"../main\":346,\"object-assign\":247}],338:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\"../main\":346,\"object-assign\":247}],339:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\"../main\":346,\"object-assign\":247}],340:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{\"../main\":346,\"object-assign\":247}],341:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":346,\"object-assign\":247}],344:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":346,\"object-assign\":247}],345:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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r,s,l=o(t,e),c=l.on,u=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(!c.length&&!u.length)return;for(r=0;r<c.length;r++)(s=a(t.layout,\"annotations\",h[c[r]])).modifyItem(\"visible\",!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r<u.length;r++)(s=a(t.layout,\"annotations\",h[u[r]])).modifyItem(\"visible\",!1),n.extendFlat(f,s.getUpdateObj());return i.call(\"update\",t,{},f)}}},{\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../../registry\":638}],352:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\");e.exports=function(t,e,r,a){a(\"opacity\");var o=a(\"bgcolor\"),s=a(\"bordercolor\"),l=i.opacity(s);a(\"borderpad\");var c=a(\"borderwidth\"),u=a(\"showarrow\");if(a(\"text\",u?\" \":r._dfltTitle.annotation),a(\"textangle\"),n.coerceFont(a,\"font\",r.font),a(\"width\"),a(\"align\"),a(\"height\")&&a(\"valign\"),u){var f,h,p=a(\"arrowside\");-1!==p.indexOf(\"end\")&&(f=a(\"arrowhead\"),h=a(\"arrowsize\")),-1!==p.indexOf(\"start\")&&(a(\"startarrowhead\",f),a(\"startarrowsize\",h)),a(\"arrowcolor\",l?e.bordercolor:i.defaultLine),a(\"arrowwidth\",2*(l&&c||1)),a(\"standoff\"),a(\"startstandoff\")}var d=a(\"hovertext\"),m=r.hoverlabel||{};if(d){var g=a(\"hoverlabel.bgcolor\",m.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a(\"hoverlabel.bordercolor\",m.bordercolor||i.contrast(g));n.coerceFont(a,\"hoverlabel.font\",{family:m.font.family,size:m.font.size,color:m.font.color||v})}a(\"captureevents\",!!d)}},{\"../../lib\":503,\"../color\":366}],353:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib/to_log_range\");e.exports=function(t,e,r,a){e=e||{};var o=\"log\"===r&&\"linear\"===e.type,s=\"linear\"===r&&\"log\"===e.type;if(o||s)for(var l,c,u=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<u.length;h++)l=u[h],c=\"annotations[\"+h+\"].\",l[f+\"ref\"]===e._id&&p(f),l[\"a\"+f+\"ref\"]===e._id&&p(\"a\"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},{\"../../lib/to_log_range\":531,\"fast-isnumeric\":190}],354:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a(\"visible\"),c=a(\"clicktoshow\");if(l||c){o(t,e,r,a);for(var u=e.showarrow,f=[\"x\",\"y\"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var m=f[d],g=i.coerceRef(t,e,p,m,\"\",\"paper\");if(\"paper\"!==g)i.getFromId(p,g)._annIndices.push(e._index);if(i.coercePosition(e,p,a,g,m,.5),u){var v=\"a\"+m,y=i.coerceRef(t,e,p,v,\"pixel\",[\"pixel\",\"paper\"]);\"pixel\"!==y&&y!==g&&(y=e[v]=\"pixel\");var 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r=t._fullLayout.annotations[e]||{},n=l.getFromId(t,r.xref),i=l.getFromId(t,r.yref);n&&n.setScale(),i&&i.setScale(),x(t,r,e,!1,n,i)}function y(t,e,r,n,i){var a=i[r],o=i[r+\"ref\"],s=-1!==r.indexOf(\"y\"),c=\"domain\"===l.getRefType(o),u=s?n.h:n.w;return t?c?a+(s?-e:e)/t._length:t.p2r(t.r2p(a)+e):a+(s?-e:e)/u}function x(t,e,r,a,v,x){var b,_,w=t._fullLayout,T=t._fullLayout._size,k=t._context.edits;a?(b=\"annotation-\"+a,_=a+\".annotations\"):(b=\"annotation\",_=\"annotations\");var A=m(t.layout,_,e),M=A.modifyBase,S=A.modifyItem,E=A.getUpdateObj;w._infolayer.selectAll(\".\"+b+'[data-index=\"'+r+'\"]').remove();var L=\"clip\"+w._uid+\"_ann\"+r;if(e._input&&!1!==e.visible){var C={x:{},y:{}},P=+e.textangle||0,I=w._infolayer.append(\"g\").classed(b,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),O=I.append(\"g\").classed(\"annotation-text-g\",!0),z=k[e.showarrow?\"annotationTail\":\"annotationPosition\"],D=e.captureevents||k.annotationText||z,R=O.append(\"g\").style(\"pointer-events\",D?\"all\":null).call(p,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",Y(n.event))}));e.hovertext&&R.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+L).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",L).append(\"rect\"),V.exit().remove();var H=e.font,q=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(q);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(W).on(\"edit\",(function(r){e.text=r,this.call(W),S(\"text\",r),v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(W)}else n.selectAll(\"#\"+L).remove();function Y(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,H).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,X),r}function X(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),f=!n.empty(),m=u.bBox((f?n:G).node()),b=m.width,_=m.height,A=e.width||b,D=e.height||_,B=Math.round(A+2*N),H=Math.round(D+2*N);function q(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,X=[\"x\",\"y\"],Z=0;Z<X.length;Z++){var J,K,Q,$,tt,et=X[Z],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:v,y:x}[et],at=(P+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=H*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+\"anchor\"],ut=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.5}else{var dt=\"domain\"===ht;\"x\"===et?(Q=e[et],J=dt?it._offset+it._length*Q:J=T.l+T.w*Q):(Q=1-e[et],J=dt?it._offset+it._length*Q:J=T.t+T.h*Q),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var mt=e[\"a\"+et];if(tt=ot*q(.5,e.xanchor)-st*q(.5,e.yanchor),nt===rt){var gt=l.getRefType(nt);\"domain\"===gt?(\"y\"===et&&(mt=1-mt),ft.tail=it._offset+it._length*mt):\"paper\"===gt?\"y\"===et?(mt=1-mt,ft.tail=T.t+T.h*mt):ft.tail=T.l+T.w*mt:ft.tail=it._offset+it.r2p(mt),K=tt}else ft.tail=J+mt,K=tt+mt;ft.text=ft.tail+tt;var vt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),\"pixel\"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*q($,ct),ft.text=J+tt;ft.text+=ut,tt+=ut,K+=ut,e[\"_\"+et+\"padplus\"]=lt/2+K,e[\"_\"+et+\"padminus\"]=lt/2-K,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(W)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(D-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(u.setClipUrl,U?L:null,t);else{var wt=N+_t-m.top,Tt=N+bt-m.left;G.call(h.positionText,Tt,wt).call(u.setClipUrl,U?L:null,t)}V.select(\"rect\").call(u.setRect,N,N,A,D),j.call(u.setRect,F/2,F/2,B-F,H-F),R.call(u.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/2)),O.attr({transform:\"rotate(\"+P+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){I.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,m=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,m,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),z=+j.attr(\"height\"),D=m-.5*L,F=D+L,B=b-.5*z,N=B+z,U=[[D,B,D,N],[D,N,F,N],[F,N,F,B],[F,B,D,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=I.append(\"g\").style({opacity:c.opacity(H)}).classed(\"annotation-arrow-g\",!0),Y=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(c.stroke,c.rgb(H));if(g(Y,q,e),k.annotationPosition&&Y.node().parentNode&&!a){var W=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var J,K,Q=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-W)+\",\"+(p-X),transform:s(W,X)}).style(\"stroke-width\",V+6+\"px\").call(c.stroke,\"rgba(0,0,0,0)\").call(c.fill,\"rgba(0,0,0,0)\");d.init({element:Q.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);J=t.x,K=t.y,v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S(\"x\",y(v,t,\"x\",T,e)),S(\"y\",y(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",y(v,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",y(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),O.attr({transform:\"rotate(\"+P+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};if(e.showarrow&&At(0,0),z)d.init({element:R.node(),gd:t,prepFn:function(){kt=O.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",y(v,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",y(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(v)i=y(v,t,\"x\",T,e);else{var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor)}if(x)o=y(x,r,\"y\",T,e);else{var u=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(f-r/T.h,u,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),v&&x||(n=d.getCursor(v?.5:i,x?.5:o,e.xanchor,e.yanchor))}O.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",Y(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:x}},{\"../../lib\":503,\"../../lib/setcursor\":524,\"../../lib/svg_text_utils\":529,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/axes\":554,\"../../plots/plots\":619,\"../../registry\":638,\"../color\":366,\"../dragelement\":385,\"../drawing\":388,\"../fx\":406,\"./draw_arrow_head\":356,\"@plotly/d3\":58}],356:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../color\"),a=t(\"./arrow_paths\"),o=t(\"../../lib\"),s=o.strScale,l=o.strRotate,c=o.strTranslate;e.exports=function(t,e,r){var o,u,f,h,p=t.node(),d=a[r.arrowhead||0],m=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),v=(r.arrowwidth||1)*(r.startarrowsize||1),y=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*g+r.standoff,_=m.backoff*v+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},u={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-u.x,T=o.y-u.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void z();if(b){if(b*b>w*w+T*T)return void z();var k=b*Math.cos(f),A=b*Math.sin(f);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(_){if(_*_>w*w+T*T)return void z();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),L=\"\";if(E<b+_)return void z();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L=\"0px,\"+_+\"px,\";var 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n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../plots/cartesian/axes\"),l=t(\"../dragelement\"),c=t(\"../../lib\"),u=c.strTranslate,f=t(\"../../lib/extend\").extendFlat,h=t(\"../../lib/setcursor\"),p=t(\"../drawing\"),d=t(\"../color\"),m=t(\"../titles\"),g=t(\"../../lib/svg_text_utils\"),v=t(\"../colorscale/helpers\").flipScale,y=t(\"../../plots/cartesian/axis_defaults\"),x=t(\"../../plots/cartesian/position_defaults\"),b=t(\"../../plots/cartesian/layout_attributes\"),_=t(\"../../constants/alignment\"),w=_.LINE_SPACING,T=_.FROM_TL,k=_.FROM_BR,A=t(\"./constants\").cn;e.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll(\"g.\"+A.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return f(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function c(){\"function\"==typeof 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r=n.select(this);c.ensureSingle(r,\"rect\",A.cbbg),c.ensureSingle(r,\"g\",A.cbfills),c.ensureSingle(r,\"g\",A.cblines),c.ensureSingle(r,\"g\",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),c.ensureSingle(r,\"g\",A.cbtitleunshift,(function(t){t.append(\"g\").classed(A.cbtitle,!0)})),c.ensureSingle(r,\"rect\",A.cboutline);var v=function(t,e,r){var o=\"v\"===e.orientation,l=e.len,h=e.lenmode,v=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,P=e.xpad,I=e.ypad,O=e.x,z=o?e.y:1-e.y,D=r._fullLayout,R=D._size,F=e._fillcolor,B=e._line,N=e.title,j=N.side,U=e._zrange||n.extent((\"function\"==typeof F?F:B.color).domain()),V=\"function\"==typeof B.color?B.color:function(){return B.color},H=\"function\"==typeof F?F:function(){return F},q=e._levels,G=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,c=a.size,u=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*c,!(c>0?n>=l:n<=l));i++)n>u&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if(\"function\"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,c=h.size,i=0;i<1e5&&(n=h.start+i*c,!(c>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&\"string\"==typeof e._fillcolor&&(s=[0]);a.size<0&&(o.reverse(),s.reverse());return{line:o,fill:s}}(0,e,U),Y=G.fill,W=G.line,X=Math.round(v*(\"fraction\"===_?o?R.w:R.h:1)),Z=X/(o?R.w:R.h),J=Math.round(l*(\"fraction\"===h?o?R.h:R.w:1)),K=J/(o?R.h:R.w),Q=Math.round(o?O*R.w+P:z*R.h+I),$={center:.5,right:1}[L]||0,tt={top:1,middle:.5}[C]||0,et=o?O-$*Z:z-tt*Z,rt=o?z-tt*K:O-$*K,nt=Math.round(o?R.h*(1-rt):R.w*rt);e._lenFrac=K,e._thickFrac=Z,e._uFrac=et,e._vFrac=rt;var it=e._axis=function(t,e,r){var n=t._fullLayout,i=\"v\"===e.orientation,a={type:\"linear\",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+e._id},l={letter:o,font:n.font,noHover:!0,noTickson:!0,noTicklabelmode:!0,calendar:n.calendar};function u(t,e){return c.coerce(a,s,b,t,e)}return y(a,s,u,l,n),x(a,s,u,l),s}(r,e,U);it.position=Z+(o?O+P/R.w:z+I/R.h);var at=-1!==[\"top\",\"bottom\"].indexOf(j);o&&at&&(it.title.side=j,it.titlex=O+P/R.w,it.titley=rt+(\"top\"===N.side?K-I/R.h:I/R.h));o||at||(it.title.side=j,it.titley=z+I/R.h,it.titlex=rt+P/R.w);if(B.color&&\"auto\"===e.tickmode){it.tickmode=\"linear\",it.tick0=q.start;var ot=q.size,st=c.constrain(J/50,4,15)+1,lt=(U[1]-U[0])/((e.nticks||st)*ot);if(lt>1){var ct=Math.pow(10,Math.floor(Math.log(lt)/Math.LN10));ot*=ct*c.roundUp(lt/ct,[2,5,10]),(Math.abs(q.start)/q.size+1e-6)%1<2e-6&&(it.tick0=0)}it.dtick=ot}it.domain=o?[rt+I/R.h,rt+K-I/R.h]:[rt+P/R.w,rt+K-P/R.w],it.setScale(),t.attr(\"transform\",u(Math.round(R.l),Math.round(R.t)));var ut,ft=t.select(\".\"+A.cbtitleunshift).attr(\"transform\",u(-Math.round(R.l),-Math.round(R.t))),ht=it.ticklabelposition,pt=it.title.font.size,dt=t.select(\".\"+A.cbaxis),mt=0,gt=0;function vt(n,i){var a={propContainer:it,propName:e._propPrefix+\"title\",traceIndex:e._traceIndex,_meta:e._meta,placeholder:D._dfltTitle.colorbar,containerGroup:t.select(\".\"+A.cbtitle)},o=\"h\"===n.charAt(0)?n.substr(1):\"h\"+n;t.selectAll(\".\"+o+\",.\"+o+\"-math-group\").remove(),m.draw(r,n,f(a,i||{}))}return c.syncOrAsync([a.previousPromises,function(){var t,e;(o&&at||!o&&!at)&&(\"top\"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt-K)+3+.75*pt),\"bottom\"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt)-3-.25*pt),\"right\"===j&&(e=I+R.t+R.h*z+3+.75*pt,t=P+R.l+R.w*rt),vt(it._id+\"title\",{attributes:{x:t,y:e,\"text-anchor\":o?\"start\":\"middle\"}}))},function(){if(!o&&!at||o&&at){var a,l=t.select(\".\"+A.cbtitle),f=l.select(\"text\"),h=[-M/2,M/2],d=l.select(\".h\"+it._id+\"title-math-group\").node(),m=15.6;if(f.node()&&(m=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),gt=a.width,(mt=a.height)>m&&(h[1]-=(mt-m)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),gt=a.width,mt=a.height),o){if(mt){if(mt+=5,\"top\"===j)it.domain[1]-=mt/R.h,h[1]*=-1;else{it.domain[0]+=mt/R.h;var v=g.lineCount(f);h[1]+=(1-v)*m}l.attr(\"transform\",u(h[0],h[1])),it.setScale()}}else gt&&(\"right\"===j&&(it.domain[0]+=(gt+pt/2)/R.w),l.attr(\"transform\",u(h[0],h[1])),it.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?u(0,Math.round(R.h*(1-it.domain[1]))):u(Math.round(R.w*it.domain[0]),0)),dt.attr(\"transform\",o?u(0,Math.round(-R.t)):u(Math.round(-R.l),0));var y=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(Y);y.enter().append(\"rect\").classed(A.cbfill,!0).style(\"stroke\",\"none\"),y.exit().remove();var x=U.map(it.c2p).map(Math.round).sort((function(t,e){return t-e}));y.each((function(t,a){var s=[0===a?U[0]:(Y[a]+Y[a-1])/2,a===Y.length-1?U[1]:(Y[a]+Y[a+1])/2].map(it.c2p).map(Math.round);o&&(s[1]=c.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?\"x\":\"y\",Q).attr(o?\"y\":\"x\",n.min(s)).attr(o?\"width\":\"height\",Math.max(X,2)).attr(o?\"height\":\"width\",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?\"vertical\":\"horizontalreversed\",e._fillgradient,\"fill\");else{var u=H(t).replace(\"e-\",\"\");l.attr(\"fill\",i(u).toHexString())}}));var b=t.select(\".\"+A.cblines).selectAll(\"path.\"+A.cbline).data(B.color&&B.width?W:[]);b.enter().append(\"path\").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=Q,r=Math.round(it.c2p(t))+B.width/2%1;n.select(this).attr(\"d\",\"M\"+(o?e+\",\"+r:r+\",\"+e)+(o?\"h\":\"v\")+X).call(p.lineGroupStyle,B.width,V(t),B.dash)})),dt.selectAll(\"g.\"+it._id+\"tick,path\").remove();var _=Q+X+(M||0)/2-(\"outside\"===e.ticks?1:0),T=s.calcTicks(it),k=s.getTickSigns(it)[2];return s.drawTicks(r,it,{vals:\"inside\"===it.ticks?s.clipEnds(it,T):T,layer:dt,path:s.makeTickPath(it,_,k),transFn:s.makeTransTickFn(it)}),s.drawLabels(r,it,{vals:T,layer:dt,transFn:s.makeTransTickLabelFn(it),labelFns:s.makeLabelFns(it,_)})},function(){if(o&&!at||!o&&at){var t,i,a=it.position||0,s=it._offset+it._length/2;if(\"right\"===j)i=s,t=R.l+R.w*a+10+pt*(it.showticklabels?1:.5);else if(t=s,\"bottom\"===j&&(i=R.t+R.h*a+10+(-1===ht.indexOf(\"inside\")?it.tickfont.size:0)+(\"intside\"!==it.ticks&&e.ticklen||0)),\"top\"===j){var l=N.text.split(\"<br>\").length;i=R.t+R.h*a+10-X-w*pt*l}vt((o?\"h\":\"v\")+it._id+\"title\",{avoid:{selection:n.select(r).selectAll(\"g.\"+it._id+\"tick\"),side:j,offsetTop:o?0:R.t,offsetLeft:o?R.l:0,maxShift:o?D.width:D.height},attributes:{x:t,y:i,\"text-anchor\":\"middle\"},transform:{rotate:o?-90:0,offset:0}})}},a.previousPromises,function(){var n,s=X+M/2;-1===ht.indexOf(\"inside\")&&(n=p.bBox(dt.node()),s+=o?n.width:n.height),ut=ft.select(\"text\");var c=0,f=o&&\"top\"===j,m=!o&&\"right\"===j,g=0;if(ut.node()&&!ut.classed(A.jsPlaceholder)){var y,x=ft.select(\".h\"+it._id+\"title-math-group\").node();x&&(o&&at||!o&&!at)?(c=(n=p.bBox(x)).width,y=n.height):(c=(n=p.bBox(ft.node())).right-R.l-(o?Q:nt),y=n.bottom-R.t-(o?nt:Q),o||\"top\"!==j||(s+=n.height,g=n.height)),m&&(ut.attr(\"transform\",u(c/2+pt/2,0)),c*=2),s=Math.max(s,o?c:y)}var b=2*(o?P:I)+s+S+M/2,w=0;!o&&N.text&&\"bottom\"===C&&z<=0&&(b+=w=b/2,g+=w),D._hColorbarMoveTitle=w,D._hColorbarMoveCBTitle=g;var F=S+M;t.select(\".\"+A.cbbg).attr(\"x\",(o?Q:nt)-F/2-(o?P:0)).attr(\"y\",(o?nt:Q)-(o?J:I+g-w)).attr(o?\"width\":\"height\",Math.max(b-w,2)).attr(o?\"height\":\"width\",Math.max(J+F,2)).call(d.fill,E).call(d.stroke,e.bordercolor).style(\"stroke-width\",S);var B=m?Math.max(c-10,0):0;if(t.selectAll(\".\"+A.cboutline).attr(\"x\",(o?Q:nt+P)+B).attr(\"y\",(o?nt+I-J:Q)+(f?mt:0)).attr(o?\"width\":\"height\",Math.max(X,2)).attr(o?\"height\":\"width\",Math.max(J-(o?2*I+mt:2*P+B),2)).call(d.stroke,e.outlinecolor).style({fill:\"none\",\"stroke-width\":M}),t.attr(\"transform\",u(R.l-(o?$*b:0),R.t-(o?0:(1-tt)*b-g))),!o&&(S||i(E).getAlpha()&&!i.equals(D.paper_bgcolor,E))){var U=dt.selectAll(\"text\"),V=U[0].length,H=t.select(\".\"+A.cbbg).node(),q=p.bBox(H),G=p.getTranslate(t);U.each((function(t,e){var r=V-1;if(0===e||e===r){var n,i=p.bBox(this),a=p.getTranslate(this);if(e===r){var o=i.right+a.x;(n=q.right+G.x+nt-S-2+O-o)>0&&(n=0)}else if(0===e){var s=i.left+a.x;(n=q.left+G.x+nt+S+2-s)<0&&(n=0)}n&&(V<3?this.setAttribute(\"transform\",\"translate(\"+n+\",0) \"+this.getAttribute(\"transform\")):this.setAttribute(\"visibility\",\"hidden\"))}}))}var Y={},W=T[L],Z=k[L],K=T[C],et=k[C],rt=b-X;o?(\"pixels\"===h?(Y.y=z,Y.t=J*K,Y.b=J*et):(Y.t=Y.b=0,Y.yt=z+l*K,Y.yb=z-l*et),\"pixels\"===_?(Y.x=O,Y.l=b*W,Y.r=b*Z):(Y.l=rt*W,Y.r=rt*Z,Y.xl=O-v*W,Y.xr=O+v*Z)):(\"pixels\"===h?(Y.x=O,Y.l=J*W,Y.r=J*Z):(Y.l=Y.r=0,Y.xl=O+l*W,Y.xr=O-l*Z),\"pixels\"===_?(Y.y=1-z,Y.t=b*K,Y.b=b*et):(Y.t=rt*K,Y.b=rt*et,Y.yt=z-v*K,Y.yb=z+v*et)),a.autoMargin(r,e._id,Y)}],r)}(r,e,t);v&&v.then&&(t._promises||[]).push(v),t._context.edits.colorbarPosition&&function(t,e,r){var n,i,a,s=\"v\"===e.orientation,c=r._fullLayout._size;l.init({element:t.node(),gd:r,prepFn:function(){n=t.attr(\"transform\"),h(t)},moveFn:function(r,o){t.attr(\"transform\",n+u(r,o)),i=l.align((s?e._uFrac:e._vFrac)+r/c.w,s?e._thickFrac:e._lenFrac,0,1,e.xanchor),a=l.align((s?e._vFrac:1-e._uFrac)-o/c.h,s?e._lenFrac:e._thickFrac,0,1,e.yanchor);var f=l.getCursor(i,a,e.xanchor,e.yanchor);h(t,f)},doneFn:function(){if(h(t),void 0!==i&&void 0!==a){var n={};n[e._propPrefix+\"x\"]=i,n[e._propPrefix+\"y\"]=a,void 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o.warn(\"Fx.hover failed\",e,t),d.unhoverRaw(t,e)}var ct=1/0;function ut(t,r){for(G=0;G<rt.length;G++)if((Y=rt[G])&&Y[0]&&Y[0].trace&&!0===(W=Y[0].trace).visible&&0!==W._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(W._module.name)){if(\"splom\"===W.type?X=l[Z=0]:(X=v.getSubplot(W),Z=l.indexOf(X)),J=P,v.isUnifiedHover(J)&&(J=J.charAt(0)),$={cd:Y,trace:W,xa:_[Z],ya:w[Z],maxHoverDistance:O,maxSpikeDistance:B,index:!1,distance:Math.min(ct,O),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:p.defaultLine,name:W.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},u[X]&&($.subplot=u[X]._subplot),u._splomScenes&&u._splomScenes[W.uid]&&($.scene=u._splomScenes[W.uid]),tt=et.length,\"array\"===J){var n=e[G];\"pointNumber\"in n?($.index=n.pointNumber,J=\"closest\"):(J=\"\",\"xval\"in n&&(K=n.xval,J=\"x\"),\"yval\"in n&&(Q=n.yval,J=J?\"closest\":\"y\"))}else void 0!==t&&void 0!==r?(K=t,Q=r):(K=V[Z],Q=H[Z]);if(0!==O)if(W._module&&W._module.hoverPoints){var a=W._module.hoverPoints($,K,Q,J,{finiteRange:!0,hoverLayer:u._hoverlayer});if(a)for(var s,c=0;c<a.length;c++)s=a[c],i(s.x0)&&i(s.y0)&&et.push(D(s,P))}else o.log(\"Unrecognized trace type in hover:\",W);if(\"closest\"===P&&et.length>tt&&(et.splice(0,tt),ct=et[0].distance),y&&0!==B&&0===et.length){$.distance=B,$.index=!1;var f=W._module.hoverPoints($,K,Q,\"closest\",{hoverLayer:u._hoverlayer});if(f&&(f=f.filter((function(t){return t.spikeDistance<=B}))),f&&f.length){var h,d=f.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(d.length){var m=d[0];i(m.x0)&&i(m.y0)&&(h=ht(m),(!nt.vLinePoint||nt.vLinePoint.spikeDistance>h.spikeDistance)&&(nt.vLinePoint=h))}var g=f.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(g.length){var x=g[0];i(x.x0)&&i(x.y0)&&(h=ht(x),(!nt.hLinePoint||nt.hLinePoint.spikeDistance>h.spikeDistance)&&(nt.hLinePoint=h))}}}}}function ft(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n);return i}function ht(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}ut();var pt={fullLayout:u,container:u._hoverlayer,event:e},dt=t._spikepoints,mt={vLinePoint:nt.vLinePoint,hLinePoint:nt.hLinePoint};t._spikepoints=mt;var gt=function(){et.sort((function(t,e){return t.distance-e.distance})),et=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];g.traceIs(s.trace,\"bar-like\")||g.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(et,P)};gt();var vt=P.charAt(0),yt=(\"x\"===vt||\"y\"===vt)&&et[0]&&L[et[0].trace.type];if(y&&0!==B&&0!==et.length){var xt=ft(et.filter((function(t){return t.ya.showspikes})),B,yt);nt.hLinePoint=ht(xt);var bt=ft(et.filter((function(t){return t.xa.showspikes})),B,yt);nt.vLinePoint=ht(bt)}if(0===et.length){var _t=d.unhoverRaw(t,e);return!y||null===nt.hLinePoint&&null===nt.vLinePoint||F(dt)&&R(t,nt,pt),_t}y&&F(dt)&&R(t,nt,pt);if(v.isXYhover(J)&&0!==et[0].length&&\"splom\"!==et[0].trace.type){var wt=et[0],Tt=(et=E[wt.trace.type]?et.filter((function(t){return t.trace.index===wt.trace.index})):[wt]).length,kt=N(\"x\",wt,u),At=N(\"y\",wt,u);ut(kt,At);var Mt,St=[],Et={},Lt=0,Ct=function(t){var e=E[t.trace.type]?C(t):t.trace.index;if(Et[e]){var r=Et[e]-1,n=St[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(St[r]=t)}else Lt++,Et[e]=Lt,St.push(t)};for(Mt=0;Mt<Tt;Mt++)Ct(et[Mt]);for(Mt=et.length-1;Mt>Tt-1;Mt--)Ct(et[Mt]);et=St,gt()}var Pt=t._hoverdata,It=[],Ot=j(t),zt=U(t);for(q=0;q<et.length;q++){var Dt=et[q],Rt=v.makeEventData(Dt,Dt.trace,Dt.cd);if(!1!==Dt.hovertemplate){var Ft=!1;Dt.cd[Dt.index]&&Dt.cd[Dt.index].ht&&(Ft=Dt.cd[Dt.index].ht),Dt.hovertemplate=Ft||Dt.trace.hovertemplate||!1}if(Dt.xa&&Dt.ya){var Bt=Dt.x0+Dt.xa._offset,Nt=Dt.x1+Dt.xa._offset,jt=Dt.y0+Dt.ya._offset,Ut=Dt.y1+Dt.ya._offset,Vt=Math.min(Bt,Nt),Ht=Math.max(Bt,Nt),qt=Math.min(jt,Ut),Gt=Math.max(jt,Ut);Rt.bbox={x0:Vt+zt,x1:Ht+zt,y0:qt+Ot,y1:Gt+Ot}}Dt.eventData=[Rt],It.push(Rt)}t._hoverdata=It;var Yt=\"y\"===P&&(rt.length>1||et.length>1)||\"closest\"===P&&it&&et.length>1,Wt=p.combine(u.plot_bgcolor||p.background,u.paper_bgcolor),Xt=I(et,{gd:t,hovermode:P,rotateLabels:Yt,bgColor:Wt,container:u._hoverlayer,outerContainer:u._paper.node(),commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance});v.isUnifiedHover(P)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function m(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;o<t.length;o++)(l=t[o]).pos+l.dp+l.size>e.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o<t.length&&!(c<=0);o++)if((l=t[o]).pos<e.pmin+1)for(l.del=!0,c--,a=2*l.size,s=t.length-1;s>=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each((function(t){var n=t[e],i=\"x\"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(f=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?T:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)}));for(;!n&&u<=h;){for(u++,n=!0,o=0;o<p.length-1;){var g=p[o],v=p[o+1],y=g[g.length-1],x=v[0];if((i=y.pos+y.dp+y.size-x.pos-x.dp+x.size)>.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(g.push.apply(g,v),p.splice(o+1,1),c=0,s=g.length-1;s>=0;s--)c+=g[s].dp;for(a=c/g.length,s=g.length-1;s>=0;s--)g[s].dp-=a;n=!1}else o++}p.forEach(m)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Xt,Yt?\"xa\":\"ya\",u),z(Xt,Yt,u._invScaleX,u._invScaleY));if(s&&s.tagName){var Zt=g.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,It);f(n.select(s),Zt?\"pointer\":\"\")}if(!s||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt))return;Pt&&t.emit(\"plotly_unhover\",{event:e,points:Pt});t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:V,yvals:H})}(t,e,r,a,s)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=j(i),o=U(i),s=I(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),m=t.trace;if(g.traceIs(m,\"gl3d\")){var v=i._fullLayout[m.scene]._scene.container,y=v.offsetLeft,x=v.offsetTop;u+=y,f+=y,h+=x,d+=x}c.bbox={x0:u+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}),l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(c=t.offset)})).each((function(t){t.offset-=c})),z(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var P=/<extra>([\\s\\S]*)<\\/extra>/;function I(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,m=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||y.HOVERFONT,k=e.fontSize||y.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),I=A[P+\"Label\"],z=V(r,m),D=z.top,R=z.width,F=z.height,B=void 0!==I&&A.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(B){var N,j,U=!0;for(N=0;N<t.length;N++)if(U&&void 0===t[N].zLabel&&(U=!1),j=t[N].hoverinfo||t[N].trace.hoverinfo){var H=Array.isArray(j)?j:j.split(\"+\");if(-1===H.indexOf(\"all\")&&-1===H.indexOf(a)){B=!1;break}}U&&(B=!1)}var q=d.selectAll(\"g.axistext\").data(B?[0]:[]);if(q.enter().append(\"g\").classed(\"axistext\",!0),q.exit().remove(),q.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),l=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),c=w.bgcolor||p.defaultLine,f=w.bordercolor||p.contrast(c),d=p.contrast(c),m={family:w.font.family||T,size:w.font.size||k,color:w.font.color||d};e.style({fill:c,stroke:f}),l.text(I).call(h.font,m).call(u.positionText,0,0).call(u.convertToTspans,r),t.attr(\"transform\",\"\");var g,v,y=V(r,l.node());if(\"x\"===a){var x=\"top\"===E.side?\"-\":\"\";l.attr(\"text-anchor\",\"middle\").call(u.positionText,0,\"top\"===E.side?D-y.bottom-M-S:D-y.top+M+S),g=E._offset+(A.x0+A.x1)/2,v=L._offset+(\"top\"===E.side?0:L._length);var b=y.width/2+S;g<b?(g=b,e.attr(\"d\",\"M-\"+(b-M)+\",0L-\"+(b-2*M)+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"Z\")):g>i.width-b?(g=i.width-b,e.attr(\"d\",\"M\"+(b-M)+\",0L\"+b+\",\"+x+M+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"H\"+(b-2*M)+\"Z\")):e.attr(\"d\",\"M0,0L\"+M+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+(S+y.width/2)+\"V\"+x+M+\"H-\"+M+\"Z\")}else{var _,C,P;\"right\"===L.side?(_=\"start\",C=1,P=\"\",g=E._offset+E._length):(_=\"end\",C=-1,P=\"-\",g=E._offset),v=L._offset+(A.y0+A.y1)/2,l.attr(\"text-anchor\",_),e.attr(\"d\",\"M0,0L\"+P+M+\",\"+M+\"V\"+(S+y.height/2)+\"h\"+P+(2*S+y.width)+\"V-\"+(S+y.height/2)+\"H\"+P+M+\"V-\"+M+\"Z\");var O,z=y.height/2,R=D-y.top-z,F=\"clip\"+i._uid+\"commonlabel\"+L._id;if(g<y.width+2*S+M){O=\"M-\"+(M+S)+\"-\"+z+\"h-\"+(y.width-S)+\"V\"+z+\"h\"+(y.width-S)+\"Z\";var B=y.width-g+S;u.positionText(l,B,R),\"end\"===_&&l.selectAll(\"tspan\").each((function(){var t=n.select(this),e=h.tester.append(\"text\").text(t.text()).call(h.font,m),i=V(r,e.node());Math.round(i.width)<Math.round(y.width)&&t.attr(\"x\",B-i.width),e.remove()}))}else u.positionText(l,C*(S+M),R),O=null;var N=i._topclips.selectAll(\"#\"+F).data(O?[0]:[]);N.enter().append(\"clipPath\").attr(\"id\",F).append(\"path\"),N.exit().remove(),N.select(\"path\").attr(\"d\",O),h.setClipUrl(l,O?F:null,r)}t.attr(\"transform\",s(g,v))})),v.isUnifiedHover(a)){d.selectAll(\"g.hovertext\").remove();var G=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===G.length)return;var Y=i.hoverlabel,W=Y.font,X={showlegend:!0,legend:{title:{text:I,font:W},font:W,bgcolor:Y.bgcolor,bordercolor:Y.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},Z={font:W};x(X,Z,r._fullData);var J=Z.legend;J.entries=[];for(var K=0;K<G.length;K++){var Q=G[K];if(\"none\"!==Q.hoverinfo){var $=O(Q,!0,a,i,I),tt=$[0],et=$[1];Q.name=et,Q.text=\"\"!==et?et+\" : 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../lib/events\"),l=t(\"../dragelement\"),c=t(\"../drawing\"),u=t(\"../color\"),f=t(\"../../lib/svg_text_utils\"),h=t(\"./handle_click\"),p=t(\"./constants\"),d=t(\"../../constants/alignment\"),m=d.LINE_SPACING,g=d.FROM_TL,v=d.FROM_BR,y=t(\"./get_legend_data\"),x=t(\"./style\"),b=t(\"./helpers\");function _(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};if(a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label),!1!==s.triggerHandler(t,\"plotly_legendclick\",l))if(1===n)e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay);else 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rectangle\")},attr:\"dragmode\",val:\"drawrect\",icon:o.drawrect,click:f},u.drawcircle={name:\"drawcircle\",title:function(t){return c(t,\"Draw circle\")},attr:\"dragmode\",val:\"drawcircle\",icon:o.drawcircle,click:f},u.eraseshape={name:\"eraseshape\",title:function(t){return c(t,\"Erase active shape\")},icon:o.eraseshape,click:s},u.zoomIn2d={name:\"zoomIn2d\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:f},u.zoomOut2d={name:\"zoomOut2d\",_cat:\"zoomout\",title:function(t){return c(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:f},u.autoScale2d={name:\"autoScale2d\",_cat:\"autoscale\",title:function(t){return c(t,\"Autoscale\")},attr:\"zoom\",val:\"auto\",icon:o.autoscale,click:f},u.resetScale2d={name:\"resetScale2d\",_cat:\"resetscale\",title:function(t){return c(t,\"Reset axes\")},attr:\"zoom\",val:\"reset\",icon:o.home,click:f},u.hoverClosestCartesian={name:\"hoverClosestCartesian\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:f},u.hoverCompareCartesian={name:\"hoverCompareCartesian\",_cat:\"hoverCompare\",title:function(t){return c(t,\"Compare data on hover\")},attr:\"hovermode\",val:function(t){return t._fullLayout._isHoriz?\"y\":\"x\"},icon:o.tooltip_compare,gravity:\"ne\",click:f},u.zoom3d={name:\"zoom3d\",_cat:\"zoom\",title:function(t){return c(t,\"Zoom\")},attr:\"scene.dragmode\",val:\"zoom\",icon:o.zoombox,click:h},u.pan3d={name:\"pan3d\",_cat:\"pan\",title:function(t){return c(t,\"Pan\")},attr:\"scene.dragmode\",val:\"pan\",icon:o.pan,click:h},u.orbitRotation={name:\"orbitRotation\",title:function(t){return c(t,\"Orbital rotation\")},attr:\"scene.dragmode\",val:\"orbit\",icon:o[\"3d_rotate\"],click:h},u.tableRotation={name:\"tableRotation\",title:function(t){return c(t,\"Turntable rotation\")},attr:\"scene.dragmode\",val:\"turntable\",icon:o[\"z-axis\"],click:h},u.resetCameraDefault3d={name:\"resetCameraDefault3d\",_cat:\"resetCameraDefault\",title:function(t){return c(t,\"Reset camera to default\")},attr:\"resetDefault\",icon:o.home,click:p},u.resetCameraLastSave3d={name:\"resetCameraLastSave3d\",_cat:\"resetCameraLastSave\",title:function(t){return c(t,\"Reset camera to last save\")},attr:\"resetLastSave\",icon:o.movie,click:p},u.hoverClosest3d={name:\"hoverClosest3d\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);n.call(\"_guiRelayout\",t,r)}},u.zoomInGeo={name:\"zoomInGeo\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},u.zoomOutGeo={name:\"zoomOutGeo\",_cat:\"zoomout\",title:function(t){return c(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m},u.resetGeo={name:\"resetGeo\",_cat:\"reset\",title:function(t){return c(t,\"Reset\")},attr:\"reset\",val:null,icon:o.autoscale,click:m},u.hoverClosestGeo={name:\"hoverClosestGeo\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:v},u.hoverClosestGl2d={name:\"hoverClosestGl2d\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:v},u.hoverClosestPie={name:\"hoverClosestPie\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:v},u.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return c(t,\"Reset view\")},icon:o.home,click:function(t){for(var e={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\"node.groups\"].push(i.node.groups.slice()),e[\"node.x\"].push(i.node.x.slice()),e[\"node.y\"].push(i.node.y.slice())}n.call(\"restyle\",t,e)}},u.toggleHover={name:\"toggleHover\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call(\"_guiRelayout\",t,r)}},u.resetViews={name:\"resetViews\",title:function(t){return c(t,\"Reset views\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},u.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return c(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},u.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return c(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},u.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:y},u.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return c(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:y}},{\"../../fonts/ploticon\":482,\"../../lib\":503,\"../../plots/cartesian/axis_ids\":558,\"../../plots/plots\":619,\"../../registry\":638,\"../shapes/draw\":450}],427:[function(t,e,r){\"use strict\";var n=t(\"./buttons\"),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),e.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},{\"./buttons\":426}],428:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\"),a=t(\"../../plot_api/plot_template\"),o=t(\"./attributes\");e.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var c=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(c,.3)),l(\"activecolor\",i.addOpacity(c,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},{\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../color\":366,\"./attributes\":425}],429:[function(t,e,r){\"use strict\";e.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),manage:t(\"./manage\")}},{\"./attributes\":425,\"./defaults\":428,\"./manage\":430}],430:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axis_ids\"),i=t(\"../../traces/scatter/subtypes\"),a=t(\"../../registry\"),o=t(\"../fx/helpers\").isUnifiedHover,s=t(\"./modebar\"),l=t(\"./buttons\"),c=t(\"./constants\").DRAW_MODES,u=t(\"../../lib\").extendDeep;e.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=u([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function u(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(u(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(u(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),m=e._has(\"cartesian\"),g=e._has(\"gl3d\"),v=e._has(\"geo\"),y=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,c=0;c<d.length;c++){var u=d[c].toLowerCase();if(u===a||u===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\");L(C);var P=[],I=[],O=[],z=[];(m||b||y||x||_)+v+g+w+T+k>1?(I=[\"toggleHover\"],O=[\"resetViews\"]):v?(P=[\"zoomInGeo\",\"zoomOutGeo\"],I=[\"hoverClosestGeo\"],O=[\"resetGeo\"]):g?(I=[\"hoverClosest3d\"],O=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],I=[\"toggleHover\"],O=[\"resetViewMapbox\"]):b?I=[\"hoverClosestGl2d\"]:y?I=[\"hoverClosestPie\"]:A?(I=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],O=[\"resetViewSankey\"]):I=[\"toggleHover\"];m&&(I=[\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"]);(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(I=[]);!m&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==O[0]&&(O=[\"resetScale2d\"]));g?z=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(m||b)&&!M||_?z=[\"zoom2d\",\"pan2d\"]:w||v?z=[\"pan2d\"]:T&&(z=[\"zoom2d\"]);(function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\"scatter-like\")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,\"box-violin\")&&\"all\"!==n.boxpoints&&\"all\"!==n.points||(e=!0))}return e})(r)&&z.push(\"select2d\",\"lasso2d\");var D=[],R=function(t){-1===D.indexOf(t)&&-1!==I.indexOf(t)&&D.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];\"string\"==typeof N?(N=N.toLowerCase(),-1!==c.indexOf(N)?(e._has(\"mapbox\")||e._has(\"cartesian\"))&&z.push(N):\"togglespikelines\"===N?R(\"toggleSpikelines\"):\"togglehover\"===N?R(\"toggleHover\"):\"hovercompare\"===N?R(\"hoverCompareCartesian\"):\"hoverclosest\"===N?(R(\"hoverClosestCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\")):\"v1hovermode\"===N&&(R(\"toggleHover\"),R(\"hoverClosestCartesian\"),R(\"hoverCompareCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\"))):F.push(N)}p=F}return L(z),L(P.concat(O)),L(D),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},{\"../../lib\":503,\"../../plots/cartesian/axis_ids\":558,\"../../registry\":638,\"../../traces/scatter/subtypes\":952,\"../fx/helpers\":402,\"./buttons\":426,\"./constants\":427,\"./modebar\":431}],431:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"fast-isnumeric\"),a=t(\"../../lib\"),o=t(\"../../fonts/ploticon\"),s=t(\"../../version\").version,l=new DOMParser;function c(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var u=c.prototype;u.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover \":\"\";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+\"#\"+i+\" .modebar-group\",\"background-color: \"+o.bgcolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn .icon path\",\"fill: \"+o.color),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn:hover .icon path\",\"fill: \"+o.activecolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn.active .icon path\",\"fill: \"+o.activecolor);var l=!this.hasButtons(e),c=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(l||c||u)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+\" watermark\"),\"v\"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},u.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},u.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},u.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&r.setAttribute(\"data-title\",i),void 0!==t.attr&&r.setAttribute(\"data-attr\",t.attr);var a=t.val;if(void 0!==a&&(\"function\"==typeof a&&(a=a(this.graphInfo)),r.setAttribute(\"data-val\",a)),\"function\"!=typeof t.click)throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",(function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget)})),r.setAttribute(\"data-toggle\",t.toggle||!1),t.toggle&&n.select(r).classed(\"active\",!0);var s=t.icon;return\"function\"==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute(\"data-gravity\",t.gravity||\"n\"),r},u.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n=\"http://www.w3.org/2000/svg\";if(t.path){(e=document.createElementNS(n,\"svg\")).setAttribute(\"viewBox\",[0,0,t.width,r].join(\" \")),e.setAttribute(\"class\",\"icon\");var a=document.createElementNS(n,\"path\");a.setAttribute(\"d\",t.path),t.transform?a.setAttribute(\"transform\",t.transform):void 0!==t.ascent&&a.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+t.ascent+\")\"),e.appendChild(a)}t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]);return e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},u.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var c=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",c===i)}}))},u.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var 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t.match(n.segmentRE).forEach((function(t){var a=e[t.charAt(0)].drawn;if(void 0!==a){var o=t.substr(1).match(n.paramRE);!o||o.length<a||r.push(i.cleanNumber(o[a]))}})),r},r.getDataToPixel=function(t,e,n,i){var a,o=t._fullLayout._size;if(e)if(\"domain\"===i)a=function(t){return e._length*(n?1-t:t)+e._offset};else{var s=r.shapePositionToRange(e);a=function(t){return e._offset+e.r2p(s(t,!0))},\"date\"===e.type&&(a=r.decodeDate(a))}else a=n?function(t){return o.t+o.h*(1-t)}:function(t){return o.l+o.w*t};return a},r.getPixelToData=function(t,e,n,i){var a,o=t._fullLayout._size;if(e)if(\"domain\"===i)a=function(t){var r=(t-e._offset)/e._length;return n?1-r:r};else{var s=r.rangeToShapePosition(e);a=function(t){return s(e.p2r(t-e._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},r.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},r.makeOptionsAndPlotinfo=function(t,e){var 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n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/pad_attributes\"),a=t(\"../../lib/extend\").extendDeepAll,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/animation_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=t(\"./constants\"),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plot_api/plot_template\":543,\"../../plots/animation_attributes\":548,\"../../plots/font_attributes\":585,\"../../plots/pad_attributes\":618,\"./constants\":460}],460:[function(t,e,r){\"use 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T={y:e.y,b:u.height*m[w],t:u.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*m[b]):(T.x=e.x,T.l=u.outerLength*d[b],T.r=u.outerLength*m[b]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=f.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),u=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)u+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),u+=h}e.currentvalue.suffix&&(u+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(u).call(c.convertToTspans,e._gd);var m=c.lineCount(l),g=(a.currentValueMaxLines+1-m)*e.currentvalue.font.size*p;return 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t=s(),a=L(t,n.mouse(i)[0]);T(e,r,t,a,!1)}function h(){var t=s();t._dragging=!1,l.call(a.fill,t.bgcolor),o.on(\"mouseup\",null),o.on(\"mousemove\",null),o.on(\"touchend\",null),o.on(\"touchmove\",null),e.emit(\"plotly_sliderend\",{slider:t,step:t.steps[t.active]})}T(e,r,t,c,!0),t._dragging=!0,o.on(\"mousemove\",u),o.on(\"touchmove\",u),o.on(\"mouseup\",h),o.on(\"touchend\",h)}t.on(\"mousedown\",l),t.on(\"touchstart\",l)}function M(t,e){var r=t.selectAll(\"rect.\"+f.tickRectClass).data(e._visibleSteps),i=e._dims;r.enter().append(\"rect\").classed(f.tickRectClass,!0),r.exit().remove(),r.attr({width:e.tickwidth+\"px\",\"shape-rendering\":\"crispEdges\"}),r.each((function(t,r){var s=r%i.labelStride==0,l=n.select(this);l.attr({height:s?e.ticklen:e.minorticklen}).call(a.fill,e.tickcolor),o.setTranslate(l,E(e,r/(e._stepCount-1))-.5*e.tickwidth,(s?f.tickOffset:f.minorTickOffset)+i.currentValueTotalHeight)}))}function S(t,e,r){for(var 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n=t(\"@plotly/d3\"),i=t(\"d3-time-format\").utcFormat,a=t(\"d3-format\").format,o=t(\"fast-isnumeric\"),s=t(\"../constants/numerical\"),l=s.FP_SAFE,c=-l,u=s.BADNUM,f=e.exports={};f.adjustFormat=function(t){return!t||/^\\d[.]\\df/.test(t)||/[.]\\d%/.test(t)?t:\"0.f\"===t?\"~f\":/^\\d%/.test(t)?\"~%\":/^\\ds/.test(t)?\"~s\":!/^[~,.0$]/.test(t)&&/[&fps]/.test(t)?\"~\"+t:t};var h={};f.warnBadFormat=function(t){var e=String(t);h[e]||(h[e]=1,f.warn('encountered bad format: \"'+e+'\"'))},f.noFormat=function(t){return String(t)},f.numberFormat=function(t){var e;try{e=a(f.adjustFormat(t))}catch(e){return f.warnBadFormat(t),f.noFormat}return e},f.nestedProperty=t(\"./nested_property\"),f.keyedContainer=t(\"./keyed_container\"),f.relativeAttr=t(\"./relative_attr\"),f.isPlainObject=t(\"./is_plain_object\"),f.toLogRange=t(\"./to_log_range\"),f.relinkPrivateKeys=t(\"./relink_private\");var 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b=0;b<t.calcdata.length;b++)t.calcdata[b][0].trace=t._fullData[b];t._context.responsive?t._responsiveChartHandler||(t._responsiveChartHandler=function(){o.isHidden(t)||h.resize(t)},window.addEventListener(\"resize\",t._responsiveChartHandler)):o.clearResponsive(t);var T=o.extendFlat({},m._size),k=0;function A(){if(h.clearAutoMarginIds(t),w.drawMarginPushers(t),p.allowAutoMargin(t),m._has(\"pie\"))for(var e=t._fullData,r=0;r<e.length;r++){var n=e[r];\"pie\"===n.type&&n.automargin&&h.allowAutoMargin(t,\"pie.\"+n.uid+\".automargin\")}return h.doAutoMargin(t),h.previousPromises(t)}function S(){t._transitioning||(w.doAutoRangeAndConstraints(t),f&&p.saveRangeInitial(t),u.getComponentMethod(\"rangeslider\",\"calcAutorange\")(t))}var E=[h.previousPromises,function(){if(s)return r.addFrames(t,s)},function e(){for(var 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u=e._clips.selectAll(\".axesclip\").data(c,(function(t){return t.x._id+t.y._id}));u.enter().append(\"clipPath\").classed(\"axesclip\",!0).attr(\"id\",(function(t){return\"clip\"+e._uid+t.x._id+t.y._id})).append(\"rect\"),u.exit().remove(),u.each((function(t){n.select(this).select(\"rect\").attr({x:t.x._offset||0,y:t.y._offset||0,width:t.x._length||1,height:t.y._length||1})}))}},H.draw=function(t,e,r){var n=t._fullLayout;\"redraw\"===e&&n._paper.selectAll(\"g.subplot\").each((function(t){var e=t[0],r=n._plots[e];if(r){var i=r.xaxis,a=r.yaxis;r.xaxislayer.selectAll(\".\"+i._id+\"tick\").remove(),r.yaxislayer.selectAll(\".\"+a._id+\"tick\").remove(),r.xaxislayer.selectAll(\".\"+i._id+\"tick2\").remove(),r.yaxislayer.selectAll(\".\"+a._id+\"tick2\").remove(),r.xaxislayer.selectAll(\".\"+i._id+\"divider\").remove(),r.yaxislayer.selectAll(\".\"+a._id+\"divider\").remove(),r.minorGridlayer&&r.minorGridlayer.selectAll(\"path\").remove(),r.gridlayer&&r.gridlayer.selectAll(\"path\").remove(),r.zerolinelayer&&r.zerolinelayer.selectAll(\"path\").remove(),n._infolayer.select(\".g-\"+i._id+\"title\").remove(),n._infolayer.select(\".g-\"+a._id+\"title\").remove()}}));var i=e&&\"redraw\"!==e?e:H.listIds(t);return s.syncOrAsync(i.map((function(e){return function(){if(e){var n=H.getFromId(t,e),i=H.drawOne(t,n,r);return n._r=n.range.slice(),n._rl=s.simpleMap(n._r,n.r2l),i}}})))},H.drawOne=function(t,e,r){var n,i,l;r=r||{},e.setScale();var c=t._fullLayout,p=e._id,d=p.charAt(0),m=H.counterLetter(p),g=c._plots[e._mainSubplot];if(g){var v=g[d+\"axislayer\"],y=e._mainLinePosition,x=e._mainMirrorPosition,b=e._vals=H.calcTicks(e),_=[e.mirror,y,x].join(\"_\");for(n=0;n<b.length;n++)b[n].axInfo=_;e._selections={},e._tickAngles&&(e._prevTickAngles=e._tickAngles),e._tickAngles={},e._depth=null;var w={};if(e.visible){var T,k,A=H.makeTransTickFn(e),M=H.makeTransTickLabelFn(e),S=\"inside\"===e.ticks,E=\"outside\"===e.ticks;if(\"boundaries\"===e.tickson){var L=function(t,e){var r,n=[],i=function(t,e){var r=t.xbnd[e];null!==r&&n.push(s.extendFlat({},t,{x:r}))};if(e.length){for(r=0;r<e.length;r++)i(e[r],0);i(e[r-1],1)}return n}(0,b);k=H.clipEnds(e,L),T=S?k:L}else k=H.clipEnds(e,b),T=S&&\"period\"!==e.ticklabelmode?k:b;var C,P=e._gridVals=k,I=function(t,e){var r,n,i=[],a=e.length&&e[e.length-1].x<e[0].x,o=function(t,e){var r=t.xbnd[e];null!==r&&i.push(s.extendFlat({},t,{x:r}))};if(t.showdividers&&e.length){for(r=0;r<e.length;r++){var l=e[r];l.text2!==n&&o(l,a?1:0),n=l.text2}o(e[r-1],a?0:1)}return i}(e,b);if(!c._hasOnlyLargeSploms){var O=e._subplotsWith,z={};for(n=0;n<O.length;n++){i=O[n];var D=(l=c._plots[i])[m+\"axis\"],R=D._mainAxis._id;if(!z[R]){z[R]=1;var F=\"x\"===d?\"M0,\"+D._offset+\"v\"+D._length:\"M\"+D._offset+\",0h\"+D._length;H.drawGrid(t,e,{vals:P,counterAxis:D,layer:l.gridlayer.select(\".\"+p),minorLayer:l.minorGridlayer.select(\".\"+p),path:F,transFn:A}),H.drawZeroLine(t,e,{counterAxis:D,layer:l.zerolinelayer,path:F,transFn:A})}}}var B=H.getTickSigns(e),N=H.getTickSigns(e,\"minor\");if(e.ticks||e.minor&&e.minor.ticks){var j,q,G,Y,W=H.makeTickPath(e,y,B[2]),X=H.makeTickPath(e,y,N[2],{minor:!0});if(e._anchorAxis&&e.mirror&&!0!==e.mirror?(j=H.makeTickPath(e,x,B[3]),q=H.makeTickPath(e,x,N[3],{minor:!0}),G=W+j,Y=X+q):(j=\"\",q=\"\",G=W,Y=X),e.showdividers&&E&&\"boundaries\"===e.tickson){var Z={};for(n=0;n<I.length;n++)Z[I[n].x]=1;C=function(t){return Z[t.x]?j:G}}else C=function(t){return t.minor?Y:G}}if(H.drawTicks(t,e,{vals:T,layer:v,path:C,transFn:A}),\"allticks\"===e.mirror){var J=Object.keys(e._linepositions||{});for(n=0;n<J.length;n++){i=J[n],l=c._plots[i];var K=e._linepositions[i]||[],Q=K[0],$=K[1],tt=K[2],et=H.makeTickPath(e,Q,tt?B[0]:N[0],{minor:tt})+H.makeTickPath(e,$,tt?B[1]:N[1],{minor:tt});H.drawTicks(t,e,{vals:T,layer:l[d+\"axislayer\"],path:et,transFn:A})}}var rt=[];if(rt.push((function(){return H.drawLabels(t,e,{vals:b,layer:v,plotinfo:l,transFn:M,labelFns:H.makeLabelFns(e,y)})})),\"multicategory\"===e.type){var nt={x:2,y:10}[d];rt.push((function(){var r={x:\"height\",y:\"width\"}[d],n=at()[r]+nt+(e._tickAngles[p+\"tick\"]?e.tickfont.size*U:0);return H.drawLabels(t,e,{vals:vt(e,b),layer:v,cls:p+\"tick2\",repositionOnUpdate:!0,secondary:!0,transFn:A,labelFns:H.makeLabelFns(e,y+n*B[4])})})),rt.push((function(){return e._depth=B[4]*(at(\"tick2\")[e.side]-y),function(t,e,r){var n=e._id+\"divider\",i=r.vals,a=r.layer.selectAll(\"path.\"+n).data(i,xt);a.exit().remove(),a.enter().insert(\"path\",\":first-child\").classed(n,1).classed(\"crisp\",1).call(f.stroke,e.dividercolor).style(\"stroke-width\",h.crispRound(t,e.dividerwidth,1)+\"px\"),a.attr(\"transform\",r.transFn).attr(\"d\",r.path)}(t,e,{vals:I,layer:v,path:H.makeTickPath(e,y,B[4],{len:e._depth}),transFn:A})}))}else e.title.hasOwnProperty(\"standoff\")&&rt.push((function(){e._depth=B[4]*(at()[e.side]-y)}));var it=o.getComponentMethod(\"rangeslider\",\"isVisible\")(e);return rt.push((function(){var r,n,i,s,l=e.side.charAt(0),u=V[e.side].charAt(0),f=H.getPxPosition(t,e),h=E?e.ticklen:0;if((e.automargin||it)&&(\"multicategory\"===e.type?r=at(\"tick2\"):(r=at(),\"x\"===d&&\"b\"===l&&(e._depth=Math.max(r.width>0?r.bottom-f:0,h)))),e.automargin){n={x:0,y:0,r:0,l:0,t:0,b:0};var p=[0,1];if(\"x\"===d){if(\"b\"===l?n[l]=e._depth:(n[l]=e._depth=Math.max(r.width>0?f-r.top:0,h),p.reverse()),r.width>0){var g=r.right-(e._offset+e._length);g>0&&(n.xr=1,n.r=g);var v=e._offset-r.left;v>0&&(n.xl=0,n.l=v)}}else if(\"l\"===l?n[l]=e._depth=Math.max(r.height>0?f-r.left:0,h):(n[l]=e._depth=Math.max(r.height>0?r.right-f:0,h),p.reverse()),r.height>0){var y=r.bottom-(e._offset+e._length);y>0&&(n.yb=0,n.b=y);var x=e._offset-r.top;x>0&&(n.yt=1,n.t=x)}n[m]=\"free\"===e.anchor?e.position:e._anchorAxis.domain[p[0]],e.title.text!==c._dfltTitle[d]&&(n[l]+=bt(e)+(e.title.standoff||0)),e.mirror&&\"free\"!==e.anchor&&((i={x:0,y:0,r:0,l:0,t:0,b:0})[u]=e.linewidth,e.mirror&&!0!==e.mirror&&(i[u]+=h),!0===e.mirror||\"ticks\"===e.mirror?i[m]=e._anchorAxis.domain[p[1]]:\"all\"!==e.mirror&&\"allticks\"!==e.mirror||(i[m]=[e._counterDomainMin,e._counterDomainMax][p[1]]))}it&&(s=o.getComponentMethod(\"rangeslider\",\"autoMarginOpts\")(t,e)),a.autoMargin(t,Tt(e),n),a.autoMargin(t,kt(e),i),a.autoMargin(t,At(e),s)})),r.skipTitle||it&&\"bottom\"===e.side||rt.push((function(){return function(t,e){var r,n=t._fullLayout,i=e._id,a=i.charAt(0),o=e.title.font.size;if(e.title.hasOwnProperty(\"standoff\"))r=e._depth+e.title.standoff+bt(e);else{var s=Pt(e);if(\"multicategory\"===e.type)r=e._depth;else{var l=1.5*o;s&&(l=.5*o,\"outside\"===e.ticks&&(l+=e.ticklen)),r=10+l+(e.linewidth?e.linewidth-1:0)}s||(r+=\"x\"===a?\"top\"===e.side?o*(e.showticklabels?1:0):o*(e.showticklabels?1.5:.5):\"right\"===e.side?o*(e.showticklabels?1:.5):o*(e.showticklabels?.5:0))}var c,f,p,d,m=H.getPxPosition(t,e);\"x\"===a?(f=e._offset+e._length/2,p=\"top\"===e.side?m-r:m+r):(p=e._offset+e._length/2,f=\"right\"===e.side?m+r:m-r,c={rotate:\"-90\",offset:0});if(\"multicategory\"!==e.type){var g=e._selections[e._id+\"tick\"];if(d={selection:g,side:e.side},g&&g.node()&&g.node().parentNode){var v=h.getTranslate(g.node().parentNode);d.offsetLeft=v.x,d.offsetTop=v.y}e.title.hasOwnProperty(\"standoff\")&&(d.pad=0)}return u.draw(t,i+\"title\",{propContainer:e,propName:e._name+\".title.text\",placeholder:n._dfltTitle[a],avoid:d,transform:c,attributes:{x:f,y:p,\"text-anchor\":\"middle\"}})}(t,e)})),s.syncOrAsync(rt)}}function at(t){var r=p+(t||\"tick\");return w[r]||(w[r]=function(t,e){var r,n,i,a;t._selections[e].size()?(r=1/0,n=-1/0,i=1/0,a=-1/0,t._selections[e].each((function(){var t=wt(this),e=h.bBox(t.node().parentNode);r=Math.min(r,e.top),n=Math.max(n,e.bottom),i=Math.min(i,e.left),a=Math.max(a,e.right)}))):(r=0,n=0,i=0,a=0);return{top:r,bottom:n,left:i,right:a,height:n-r,width:a-i}}(e,r)),w[r]}},H.getTickSigns=function(t,e){var r=t._id.charAt(0),n={x:\"top\",y:\"right\"}[r],i=t.side===n?1:-1,a=[-1,1,i,-i];return\"inside\"!==(e?(t.minor||{}).ticks:t.ticks)==(\"x\"===r)&&(a=a.map((function(t){return-t}))),t.side&&a.push({l:-1,t:-1,r:1,b:1}[t.side.charAt(0)]),a},H.makeTransTickFn=function(t){return\"x\"===t._id.charAt(0)?function(e){return l(t._offset+t.l2p(e.x),0)}:function(e){return l(0,t._offset+t.l2p(e.x))}},H.makeTransTickLabelFn=function(t){var e=function(t){var e=t.ticklabelposition||\"\",r=function(t){return-1!==e.indexOf(t)},n=r(\"top\"),i=r(\"left\"),a=r(\"right\"),o=r(\"bottom\"),s=r(\"inside\"),l=o||i||n||a;if(!l&&!s)return[0,0];var c=t.side,u=l?(t.tickwidth||0)/2:0,f=3,h=t.tickfont?t.tickfont.size:12;(o||n)&&(u+=h*j,f+=(t.linewidth||0)/2);(i||a)&&(u+=(t.linewidth||0)/2,f+=3);s&&\"top\"===c&&(f-=h*(1-j));(i||n)&&(u=-u);\"bottom\"!==c&&\"right\"!==c||(f=-f);return[l?u:0,s?f:0]}(t),r=e[0],n=e[1];return\"x\"===t._id.charAt(0)?function(e){return l(r+t._offset+t.l2p(yt(e)),n)}:function(e){return l(n,r+t._offset+t.l2p(yt(e)))}},H.makeTickPath=function(t,e,r,n){n||(n={});var i=n.minor;if(i&&!t.minor)return\"\";var a=void 0!==n.len?n.len:i?t.minor.ticklen:t.ticklen,o=t._id.charAt(0),s=(t.linewidth||1)/2;return\"x\"===o?\"M0,\"+(e+s*r)+\"v\"+a*r:\"M\"+(e+s*r)+\",0h\"+a*r},H.makeLabelFns=function(t,e,r){var n=t.ticklabelposition||\"\",a=function(t){return-1!==n.indexOf(t)},o=a(\"top\"),l=a(\"left\"),c=a(\"right\"),u=a(\"bottom\")||l||o||c,f=a(\"inside\"),h=\"inside\"===n&&\"inside\"===t.ticks||!f&&\"outside\"===t.ticks&&\"boundaries\"!==t.tickson,p=0,d=0,m=h?t.ticklen:0;if(f?m*=-1:u&&(m=0),h&&(p+=m,r)){var g=s.deg2rad(r);p=m*Math.cos(g)+1,d=m*Math.sin(g)}t.showticklabels&&(h||t.showline)&&(p+=.2*t.tickfont.size);var v,y,x,b,_,w={labelStandoff:p+=(t.linewidth||1)/2*(f?-1:1),labelShift:d},T=0,k=t.side,A=t._id.charAt(0),M=t.tickangle;if(\"x\"===A)b=(_=!f&&\"bottom\"===k||f&&\"top\"===k)?1:-1,f&&(b*=-1),v=d*b,y=e+p*b,x=_?1:-.2,90===Math.abs(M)&&(f?x+=N:x=-90===M&&\"bottom\"===k?j:90===M&&\"top\"===k?N:.5,T=N/2*(M/90)),w.xFn=function(t){return t.dx+v+T*t.fontSize},w.yFn=function(t){return t.dy+y+t.fontSize*x},w.anchorFn=function(t,e){if(u){if(l)return\"end\";if(c)return\"start\"}return i(e)&&0!==e&&180!==e?e*b<0!==f?\"end\":\"start\":\"middle\"},w.heightFn=function(e,r,n){return r<-60||r>60?-.5*n:\"top\"===t.side!==f?-n:0};else if(\"y\"===A){if(b=(_=!f&&\"left\"===k||f&&\"right\"===k)?1:-1,f&&(b*=-1),v=p,y=d*b,x=0,f||90!==Math.abs(M)||(x=-90===M&&\"left\"===k||90===M&&\"right\"===k?j:.5),f){var S=i(M)?+M:0;if(0!==S){var E=s.deg2rad(S);T=Math.abs(Math.sin(E))*j*b,x=0}}w.xFn=function(t){return t.dx+e-(v+t.fontSize*x)*b+T*t.fontSize},w.yFn=function(t){return t.dy+y+t.fontSize*N},w.anchorFn=function(t,e){return i(e)&&90===Math.abs(e)?\"middle\":_?\"end\":\"start\"},w.heightFn=function(e,r,n){return\"right\"===t.side&&(r*=-1),r<-30?-n:r<30?-.5*n:0}}return w},H.drawTicks=function(t,e,r){r=r||{};var i=e._id+\"tick\",a=[].concat(e.minor&&e.minor.ticks?r.vals.filter((function(t){return t.minor&&!t.noTick})):[]).concat(e.ticks?r.vals.filter((function(t){return!t.minor&&!t.noTick})):[]),o=r.layer.selectAll(\"path.\"+i).data(a,xt);o.exit().remove(),o.enter().append(\"path\").classed(i,1).classed(\"ticks\",1).classed(\"crisp\",!1!==r.crisp).each((function(t){return f.stroke(n.select(this),t.minor?e.minor.tickcolor:e.tickcolor)})).style(\"stroke-width\",(function(r){return h.crispRound(t,r.minor?e.minor.tickwidth:e.tickwidth,1)+\"px\"})).attr(\"d\",r.path).style(\"display\",null),It(e,[R]),o.attr(\"transform\",r.transFn)},H.drawGrid=function(t,e,r){r=r||{};var i=e._id+\"grid\",a=e.minor&&e.minor.showgrid,o=a?r.vals.filter((function(t){return t.minor})):[],s=e.showgrid?r.vals.filter((function(t){return!t.minor})):[],l=r.counterAxis;if(l&&H.shouldShowZeroLine(t,e,l))for(var c=\"array\"===e.tickmode,u=0;u<s.length;u++){var p=s[u].x;if(c?!p:Math.abs(p)<e.dtick/100){if(s=s.slice(0,u).concat(s.slice(u+1)),!c)break;u--}}e._gw=h.crispRound(t,e.gridwidth,1);for(var d=a?h.crispRound(t,e.minor.gridwidth,1):0,m=r.layer,g=r.minorLayer,v=1;v>=0;v--){var y=v?m:g;if(y){var x=y.selectAll(\"path.\"+i).data(v?s:o,xt);x.exit().remove(),x.enter().append(\"path\").classed(i,1).classed(\"crisp\",!1!==r.crisp),x.attr(\"transform\",r.transFn).attr(\"d\",r.path).each((function(t){return f.stroke(n.select(this),t.minor?e.minor.gridcolor:e.gridcolor||\"#ddd\")})).style(\"stroke-dasharray\",(function(t){return h.dashStyle(t.minor?e.minor.griddash:e.griddash,t.minor?e.minor.gridwidth:e.gridwidth)})).style(\"stroke-width\",(function(t){return(t.minor?d:e._gw)+\"px\"})).style(\"display\",null),\"function\"==typeof r.path&&x.attr(\"d\",r.path)}}It(e,[z,D])},H.drawZeroLine=function(t,e,r){r=r||r;var n=e._id+\"zl\",i=H.shouldShowZeroLine(t,e,r.counterAxis),a=r.layer.selectAll(\"path.\"+n).data(i?[{x:0,id:e._id}]:[]);a.exit().remove(),a.enter().append(\"path\").classed(n,1).classed(\"zl\",1).classed(\"crisp\",!1!==r.crisp).each((function(){r.layer.selectAll(\"path\").sort((function(t,e){return Y(t.id,e.id)}))})),a.attr(\"transform\",r.transFn).attr(\"d\",r.path).call(f.stroke,e.zerolinecolor||f.defaultLine).style(\"stroke-width\",h.crispRound(t,e.zerolinewidth,e._gw||1)+\"px\").style(\"display\",null),It(e,[O])},H.drawLabels=function(t,e,r){r=r||{};var a=t._fullLayout,o=e._id,u=o.charAt(0),f=r.cls||o+\"tick\",p=r.vals.filter((function(t){return t.text})),d=r.labelFns,m=r.secondary?0:e.tickangle,g=(e._prevTickAngles||{})[f],v=r.layer.selectAll(\"g.\"+f).data(e.showticklabels?p:[],xt),y=[];function x(t,a){t.each((function(t){var o=n.select(this),s=o.select(\".text-math-group\"),u=d.anchorFn(t,a),f=r.transFn.call(o.node(),t)+(i(a)&&0!=+a?\" rotate(\"+a+\",\"+d.xFn(t)+\",\"+(d.yFn(t)-t.fontSize/2)+\")\":\"\"),p=c.lineCount(o),m=U*t.fontSize,g=d.heightFn(t,i(a)?+a:0,(p-1)*m);if(g&&(f+=l(0,g)),s.empty()){var v=o.select(\"text\");v.attr({transform:f,\"text-anchor\":u}),v.style(\"opacity\",1),e._adjustTickLabelsOverflow&&e._adjustTickLabelsOverflow()}else{var y=h.bBox(s.node()).width*{end:-.5,start:.5}[u];s.attr(\"transform\",f+l(y,0))}}))}v.enter().append(\"g\").classed(f,1).append(\"text\").attr(\"text-anchor\",\"middle\").each((function(e){var r=n.select(this),i=t._promises.length;r.call(c.positionText,d.xFn(e),d.yFn(e)).call(h.font,e.font,e.fontSize,e.fontColor).text(e.text).call(c.convertToTspans,t),t._promises[i]?y.push(t._promises.pop().then((function(){x(r,m)}))):x(r,m)})),It(e,[F]),v.exit().remove(),r.repositionOnUpdate&&v.each((function(t){n.select(this).select(\"text\").call(c.positionText,d.xFn(t),d.yFn(t))})),e._adjustTickLabelsOverflow=function(){var r=e.ticklabeloverflow;if(r&&\"allow\"!==r){var i=-1!==r.indexOf(\"hide\"),o=\"x\"===e._id.charAt(0),l=0,c=o?t._fullLayout.width:t._fullLayout.height;if(-1!==r.indexOf(\"domain\")){var u=s.simpleMap(e.range,e.r2l);l=e.l2p(u[0])+e._offset,c=e.l2p(u[1])+e._offset}var f=Math.min(l,c),p=Math.max(l,c),d=e.side,m=1/0,g=-1/0;for(var y in v.each((function(t){var 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o=\"tick\"===t.K&&\"text\"===t.L&&\"period\"===e.ticklabelmode,s=a._plots[e._mainSubplot];(t.K===O.K?s.zerolinelayer.selectAll(\".\"+e._id+\"zl\"):t.K===D.K?s.minorGridlayer.selectAll(\".\"+e._id):t.K===z.K?s.gridlayer.selectAll(\".\"+e._id):s[e._id.charAt(0)+\"axislayer\"]).each((function(){var a=n.select(this);t.L&&(a=a.selectAll(t.L)),a.each((function(a){var s=e.l2p(o?yt(a):a.x)+e._offset,l=n.select(this);s<e[\"_visibleLabelMax_\"+r._id]&&s>e[\"_visibleLabelMin_\"+r._id]?l.style(\"display\",\"none\"):\"tick\"!==t.K||i||l.style(\"display\",null)}))}))}))}))},x(v,g+1?g:m);var b=null;e._selections&&(e._selections[f]=v);var _=[function(){return y.length&&Promise.all(y)}];e.automargin&&a._redrawFromAutoMarginCount&&90===g?(b=90,_.push((function(){x(v,g)}))):_.push((function(){if(x(v,m),p.length&&\"x\"===u&&!i(m)&&(\"log\"!==e.type||\"D\"!==String(e.dtick).charAt(0))){b=0;var t,n=0,a=[];if(v.each((function(t){n=Math.max(n,t.fontSize);var 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n=t(\"fast-isnumeric\"),i=t(\"../../registry\"),a=t(\"../../lib\"),o=t(\"../../plot_api/plot_template\"),s=t(\"../array_container_defaults\"),l=t(\"./layout_attributes\"),c=t(\"./tick_value_defaults\"),u=t(\"./tick_mark_defaults\"),f=t(\"./tick_label_defaults\"),h=t(\"./prefix_suffix_defaults\"),p=t(\"./category_order_defaults\"),d=t(\"./line_grid_defaults\"),m=t(\"./set_convert\"),g=t(\"./constants\").WEEKDAY_PATTERN,v=t(\"./constants\").HOUR_PATTERN;function y(t,e,r){function i(r,n){return a.coerce(t,e,l.rangebreaks,r,n)}if(i(\"enabled\")){var o=i(\"bounds\");if(o&&o.length>=2){var s,c,u=\"\";if(2===o.length)for(s=0;s<2;s++)if(c=b(o[s])){u=g;break}var f=i(\"pattern\",u);if(f===g)for(s=0;s<2;s++)(c=b(o[s]))&&(e.bounds[s]=o[s]=c-1);if(f)for(s=0;s<2;s++)switch(c=o[s],f){case g:if(!n(c))return void(e.enabled=!1);if((c=+c)!==Math.floor(c)||c<0||c>=7)return void(e.enabled=!1);e.bounds[s]=o[s]=c;break;case v:if(!n(c))return void(e.enabled=!1);if((c=+c)<0||c>24)return 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a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),yt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":y(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,y(s)?(Pt.xaxes=J,Pt.yaxes=K,A(e,r,n,Pt,s)):(Pt.clickFn=Ot,y(a)&&It(),ot||(\"zoom\"===s?(Pt.moveFn=zt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St=\"xy\",Ct=!1,Et=N(mt,kt,Q,$,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(mt,Q,$)}(0,r,n)):\"pan\"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;y(r)||(yt(),Yt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var 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r,n,a,o,s=t._fullLayout,c=s._plots,u=s._subplots.cartesian;if(ut&&l.subplotsRegistry.splom.drag(t),ct)for(r=0;r<u.length;r++)if(a=(n=c[u[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ut||ct)&&(_(t),w(t)),ft){var d=e[2]/I._length,g=e[3]/O._length;for(r=0;r<u.length;r++){a=(n=c[u[r]]).xaxis,o=n.yaxis;var y,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&Z[o._id];if(k?(y=d,b=v||nt.isSubplotConstrained?e[0]:Zt(a,y)):nt.xaHash[a._id]?(y=d,b=e[0]*a._length/I._length):nt.yaHash[a._id]?(y=g,b=\"ns\"===at?-e[1]*a._length/O._length:Zt(a,y,{n:\"top\",s:\"bottom\"}[at])):b=Xt(a,y=Wt(a,d,g)),A?(x=g,T=m||nt.isSubplotConstrained?e[1]:Zt(o,x)):nt.yaHash[o._id]?(x=g,T=e[1]*o._length/O._length):nt.xaHash[o._id]?(x=d,T=\"ew\"===it?-e[0]*o._length/I._length:Zt(o,x,{e:\"right\",w:\"left\"}[it])):T=Xt(o,x=Wt(o,d,g)),y||x){y||(y=1),x||(x=1);var M=a._offset-b/y,S=o._offset-T/x;n.clipRect.call(h.setTranslate,b,T).call(h.setScale,y,x),n.plot.call(h.setTranslate,M,S).call(h.setScale,1/y,1/x),y===n.xScaleFactor&&x===n.yScaleFactor||(h.setPointGroupScale(n.zoomScalePts,y,x),h.setTextPointsScale(n.zoomScaleTxt,y,x)),h.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=y,n.yScaleFactor=x}}}}function Wt(t,e,r){return t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Xt(t,e){return e?(t.range=t._r.slice(),E(t,e),Zt(t,e)):0}function Zt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||\"middle\"]}return m.length*v.length!=1&&W(bt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(It(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();yt(),clearTimeout(Bt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),o=jt.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),s=(e.clientX-o.left)/o.width,l=(o.bottom-e.clientY)/o.height;if(st){for(v||(s=.5),n=0;n<J.length;n++)c(J[n],s,a);Vt(\"x\"),Ft[2]*=a,Ft[0]+=Ft[2]*s*(1/a-1)}if(lt){for(m||(l=.5),n=0;n<K.length;n++)c(K[n],l,a);Vt(\"y\"),Ft[3]*=a,Ft[1]+=Ft[3]*(1-l)*(1/a-1)}Yt(Ft),Ht(),t.emit(\"plotly_relayouting\",ht),Bt=setTimeout((function(){t._fullLayout&&(Ft=[0,0,tt,et],Gt())}),Nt),e.preventDefault()}else i.log(\"Did not find wheel motion attributes: \",e)}function c(t,e,r){if(!t.fixedrange){var n=i.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return t.l2r(a+(e-a)*r)}))}}})),bt},makeDragger:O,makeRectDragger:z,makeZoombox:N,makeCorners:j,updateZoombox:U,xyCorners:G,transitionZoombox:V,removeZoombox:H,showDoubleClickNotifier:q,attachWheelEventHandler:W}},{\"../../components/color\":366,\"../../components/dragelement\":385,\"../../components/dragelement/helpers\":384,\"../../components/drawing\":388,\"../../components/fx\":406,\"../../constants/alignment\":471,\"../../lib\":503,\"../../lib/clear_gl_canvases\":487,\"../../lib/setcursor\":524,\"../../lib/svg_text_utils\":529,\"../../plot_api/subroutines\":544,\"../../registry\":638,\"../plots\":619,\"./axes\":554,\"./axis_ids\":558,\"./constants\":561,\"./scale_zoom\":574,\"./select\":575,\"@plotly/d3\":58,\"has-passive-events\":229,tinycolor2:312}],564:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/fx\"),a=t(\"../../components/dragelement\"),o=t(\"../../lib/setcursor\"),s=t(\"./dragbox\").makeDragBox,l=t(\"./constants\").DRAGGERSIZE;r.initInteractions=function(t){var e=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(e._has(\"cartesian\")||e._has(\"splom\")){Object.keys(e._plots||{}).sort((function(t,r){if((e._plots[t].mainplot&&!0)===(e._plots[r].mainplot&&!0)){var n=t.split(\"y\"),i=r.split(\"y\");return n[0]===i[0]?Number(n[1]||1)-Number(i[1]||1):Number(n[0]||1)-Number(i[0]||1)}return e._plots[t].mainplot?1:-1})).forEach((function(r){var n=e._plots[r],o=n.xaxis,c=n.yaxis;if(!n.mainplot){var u=s(t,n,o._offset,c._offset,o._length,c._length,\"ns\",\"ew\");u.onmousemove=function(e){t._fullLayout._rehover=function(){t._fullLayout._hoversubplot===r&&t._fullLayout._plots[r]&&i.hover(t,e,r)},i.hover(t,e,r),t._fullLayout._lasthover=u,t._fullLayout._hoversubplot=r},u.onmouseout=function(e){t._dragging||(t._fullLayout._hoversubplot=null,a.unhover(t,e))},t._context.showAxisDragHandles&&(s(t,n,o._offset-l,c._offset-l,l,l,\"n\",\"w\"),s(t,n,o._offset+o._length,c._offset-l,l,l,\"n\",\"e\"),s(t,n,o._offset-l,c._offset+c._length,l,l,\"s\",\"w\"),s(t,n,o._offset+o._length,c._offset+c._length,l,l,\"s\",\"e\"))}if(t._context.showAxisDragHandles){if(r===o._mainSubplot){var f=o._mainLinePosition;\"top\"===o.side&&(f-=l),s(t,n,o._offset+.1*o._length,f,.8*o._length,l,\"\",\"ew\"),s(t,n,o._offset,f,.1*o._length,l,\"\",\"w\"),s(t,n,o._offset+.9*o._length,f,.1*o._length,l,\"\",\"e\")}if(r===c._mainSubplot){var h=c._mainLinePosition;\"right\"!==c.side&&(h-=l),s(t,n,h,c._offset+.1*c._length,l,.8*c._length,\"ns\",\"\"),s(t,n,h,c._offset+.9*c._length,l,.1*c._length,\"s\",\"\"),s(t,n,h,c._offset,l,.1*c._length,\"n\",\"\")}}}));var o=e._hoverlayer.node();o.onmousemove=function(r){r.target=t._fullLayout._lasthover,i.hover(t,r,e._hoversubplot)},o.onclick=function(e){e.target=t._fullLayout._lasthover,i.click(t,e)},o.onmousedown=function(e){t._fullLayout._lasthover.onmousedown(e)},r.updateFx(t)}},r.updateFx=function(t){var e=t._fullLayout,r=\"pan\"===e.dragmode?\"move\":\"crosshair\";o(e._draggers,r)}},{\"../../components/dragelement\":385,\"../../components/fx\":406,\"../../lib/setcursor\":524,\"./constants\":561,\"./dragbox\":563,\"@plotly/d3\":58}],565:[function(t,e,r){\"use strict\";e.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearSelect:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._drawing=!1}}},{}],566:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").strTranslate;function i(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}e.exports={p2r:i,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},{\"../../lib\":503}],567:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"./axis_ids\");e.exports=function(t){return function(e,r){var o=e[t];if(Array.isArray(o))for(var s=n.subplotsRegistry.cartesian,l=s.idRegex,c=r._subplots,u=c.xaxis,f=c.yaxis,h=c.cartesian,p=r._has(\"cartesian\")||r._has(\"gl2d\"),d=0;d<o.length;d++){var m=o[d];if(i.isPlainObject(m)){var g=a.cleanId(m.xref,\"x\",!1),v=a.cleanId(m.yref,\"y\",!1),y=l.x.test(g),x=l.y.test(v);if(y||x){p||i.pushUnique(r._basePlotModules,s);var b=!1;y&&-1===u.indexOf(g)&&(u.push(g),b=!0),x&&-1===f.indexOf(v)&&(f.push(v),b=!0),b&&y&&x&&h.push(g+v)}}}}}},{\"../../lib\":503,\"../../registry\":638,\"./axis_ids\":558}],568:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../registry\"),a=t(\"../../lib\"),o=t(\"../plots\"),s=t(\"../../components/drawing\"),l=t(\"../get_data\").getModuleCalcData,c=t(\"./axis_ids\"),u=t(\"./constants\"),f=t(\"../../constants/xmlns_namespaces\"),h=a.ensureSingle;function p(t,e,r){return a.ensureSingle(t,e,r,(function(t){t.datum(r)}))}function d(t,e,r,a,o){for(var c,f,h,p=u.traceLayerClasses,d=t._fullLayout,m=d._modules,g=[],v=[],y=0;y<m.length;y++){var x=(c=m[y]).name,b=i.modules[x].categories;if(b.svg){var _=c.layerName||x+\"layer\",w=c.plot;h=(f=l(r,w))[0],r=f[1],h.length&&g.push({i:p.indexOf(_),className:_,plotMethod:w,cdModule:h}),b.zoomScale&&v.push(\".\"+_)}}g.sort((function(t,e){return t.i-e.i}));var T=e.plot.selectAll(\"g.mlayer\").data(g,(function(t){return t.className}));if(T.enter().append(\"g\").attr(\"class\",(function(t){return t.className})).classed(\"mlayer\",!0).classed(\"rangeplot\",e.isRangePlot),T.exit().remove(),T.order(),T.each((function(r){var i=n.select(this),l=r.className;r.plotMethod(t,e,r.cdModule,i,a,o),-1===u.clipOnAxisFalseQuery.indexOf(\".\"+l)&&s.setClipUrl(i,e.layerClipId,t)})),d._has(\"scattergl\")&&(c=i.getModule(\"scattergl\"),h=l(r,c)[0],c.plot(t,e,h)),!t._context.staticPlot&&(e._hasClipOnAxisFalse&&(e.clipOnAxisFalseTraces=e.plot.selectAll(u.clipOnAxisFalseQuery.join(\",\")).selectAll(\".trace\")),v.length)){var k=e.plot.selectAll(v.join(\",\")).selectAll(\".trace\");e.zoomScalePts=k.selectAll(\"path.point\"),e.zoomScaleTxt=k.selectAll(\".textpoint\")}}function m(t,e){var r=e.plotgroup,n=e.id,i=u.layerValue2layerClass[e.xaxis.layer],a=u.layerValue2layerClass[e.yaxis.layer],o=t._fullLayout._hasOnlyLargeSploms;if(e.mainplot){var s=e.mainplotinfo,l=s.plotgroup,f=n+\"-x\",d=n+\"-y\";e.minorGridlayer=s.minorGridlayer,e.gridlayer=s.gridlayer,e.zerolinelayer=s.zerolinelayer,h(s.overlinesBelow,\"path\",f),h(s.overlinesBelow,\"path\",d),h(s.overaxesBelow,\"g\",f),h(s.overaxesBelow,\"g\",d),e.plot=h(s.overplot,\"g\",n),h(s.overlinesAbove,\"path\",f),h(s.overlinesAbove,\"path\",d),h(s.overaxesAbove,\"g\",f),h(s.overaxesAbove,\"g\",d),e.xlines=l.select(\".overlines-\"+i).select(\".\"+f),e.ylines=l.select(\".overlines-\"+a).select(\".\"+d),e.xaxislayer=l.select(\".overaxes-\"+i).select(\".\"+f),e.yaxislayer=l.select(\".overaxes-\"+a).select(\".\"+d)}else 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yt=b(\"rangeslider\",\"handleDefaults\"),xt=b(\"rangeselector\",\"handleDefaults\");for(y=0;y<j.length;y++)q=j[y],W=t[q],X=e[q],yt(t,e,q),\"date\"===X.type&&xt(W,X,e,U,X.calendar),K(\"fixedrange\");for(y=0;y<U.length;y++){q=U[y],W=t[q],X=e[q];var bt=e[m(X.anchor)];K(\"fixedrange\",b(\"rangeslider\",\"isVisible\")(bt))}h.handleDefaults(t,e,{axIds:rt.concat(it).sort(d.idSort),axHasImage:P})}},{\"../../components/color\":366,\"../../components/fx/helpers\":402,\"../../components/fx/hovermode_defaults\":405,\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../../registry\":638,\"../layout_attributes\":610,\"./axis_defaults\":556,\"./axis_ids\":558,\"./constants\":561,\"./constraints\":562,\"./layout_attributes\":569,\"./position_defaults\":572,\"./type_defaults\":582}],571:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../components/color/attributes\"),a=t(\"../../lib\");e.exports=function(t,e,r,o){var s=(o=o||{}).dfltColor;function l(r,n){return a.coerce2(t,e,o.attributes,r,n)}var c=l(\"linecolor\",s),u=l(\"linewidth\");r(\"showline\",o.showLine||!!c||!!u)||(delete e.linecolor,delete e.linewidth);var f=l(\"gridcolor\",n(s,o.bgColor,o.blend||i.lightFraction).toRgbString()),h=l(\"gridwidth\"),p=l(\"griddash\");if(r(\"showgrid\",o.showGrid||!!f||!!h||!!p)||(delete e.gridcolor,delete e.gridwidth,delete e.griddash),o.hasMinor){var d=l(\"minor.gridcolor\",n(e.gridcolor,o.bgColor,67).toRgbString()),m=l(\"minor.gridwidth\",e.gridwidth||1),g=l(\"minor.griddash\",e.griddash||\"solid\");r(\"minor.showgrid\",!!d||!!m||!!g)||(delete e.minor.gridcolor,delete e.minor.gridwidth,delete e.minor.griddash)}if(!o.noZeroLine){var v=l(\"zerolinecolor\",s),y=l(\"zerolinewidth\");r(\"zeroline\",o.showGrid||!!v||!!y)||(delete e.zerolinecolor,delete e.zerolinewidth)}}},{\"../../components/color/attributes\":365,\"../../lib\":503,tinycolor2:312}],572:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\");e.exports=function(t,e,r,a){var o,s,l,c,u=a.counterAxes||[],f=a.overlayableAxes||[],h=a.letter,p=a.grid;p&&(s=p._domains[h][p._axisMap[e._id]],o=p._anchors[e._id],s&&(l=p[h+\"side\"].split(\" \")[0],c=p.domain[h][\"right\"===l||\"top\"===l?1:0])),s=s||[0,1],o=o||(n(t.position)?\"free\":u[0]||\"free\"),l=l||(\"x\"===h?\"bottom\":\"left\"),c=c||0,\"free\"===i.coerce(t,e,{anchor:{valType:\"enumerated\",values:[\"free\"].concat(u),dflt:o}},\"anchor\")&&r(\"position\",c),i.coerce(t,e,{side:{valType:\"enumerated\",values:\"x\"===h?[\"bottom\",\"top\"]:[\"left\",\"right\"],dflt:l}},\"side\");var d=!1;if(f.length&&(d=i.coerce(t,e,{overlaying:{valType:\"enumerated\",values:[!1].concat(f),dflt:!1}},\"overlaying\")),!d){var m=r(\"domain\",s);m[0]>m[1]-1/4096&&(e.domain=s),i.noneOrAll(t.domain,e.domain,s)}return r(\"layer\"),e}},{\"../../lib\":503,\"fast-isnumeric\":190}],573:[function(t,e,r){\"use strict\";var n=t(\"./show_dflt\");e.exports=function(t,e,r,i,a){a||(a={});var o=a.tickSuffixDflt,s=n(t);r(\"tickprefix\")&&r(\"showtickprefix\",s),r(\"ticksuffix\",o)&&r(\"showticksuffix\",s)}},{\"./show_dflt\":577}],574:[function(t,e,r){\"use strict\";var n=t(\"../../constants/alignment\").FROM_BL;e.exports=function(t,e,r){void 0===r&&(r=n[t.constraintoward||\"center\"]);var i=[t.r2l(t.range[0]),t.r2l(t.range[1])],a=i[0]+(i[1]-i[0])*r;t.range=t._input.range=[t.l2r(a+(i[0]-a)*e),t.l2r(a+(i[1]-a)*e)],t.setScale()}},{\"../../constants/alignment\":471}],575:[function(t,e,r){\"use strict\";var n=t(\"polybooljs\"),i=t(\"../../registry\"),a=t(\"../../components/drawing\").dashStyle,o=t(\"../../components/color\"),s=t(\"../../components/fx\"),l=t(\"../../components/fx/helpers\").makeEventData,c=t(\"../../components/dragelement/helpers\"),u=c.freeMode,f=c.rectMode,h=c.drawMode,p=c.openMode,d=c.selectMode,m=t(\"../../components/shapes/draw_newshape/display_outlines\"),g=t(\"../../components/shapes/draw_newshape/helpers\").handleEllipse,v=t(\"../../components/shapes/draw_newshape/newshapes\"),y=t(\"../../lib\"),x=t(\"../../lib/polygon\"),b=t(\"../../lib/throttle\"),_=t(\"./axis_ids\").getFromId,w=t(\"../../lib/clear_gl_canvases\"),T=t(\"../../plot_api/subroutines\").redrawReglTraces,k=t(\"./constants\"),A=k.MINSELECT,M=x.filter,S=x.tester,E=t(\"./handle_outline\").clearSelect,L=t(\"./helpers\"),C=L.p2r,P=L.axValue,I=L.getTransform;function O(t,e,r,n,i,a,o){var s,l,c,u,f,h,d,g,v,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf(\"event\")>-1,b=[];if(function(t){return 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e=[],r=z(t[0])?0:t[0][0][0],n=r,i=z(t[0])?0:t[0][0][1],a=i,o=0;o<t.length;o++)if(z(t[o]))e.push(D(t[o]));else{var s=x.tester(t[o]);s.subtract=t[o].subtract,e.push(s),r=Math.min(r,s.xmin),n=Math.max(n,s.xmax),i=Math.min(i,s.ymin),a=Math.max(a,s.ymax)}return{xmin:r,xmax:n,ymin:i,ymax:a,pts:[],contains:function(t,r,n,i){for(var a=!1,o=0;o<e.length;o++)e[o].contains(t,r,n,i)&&(a=!1===e[o].subtract);return a},isRect:!1,degenerate:!1}}function F(t,e,r){e._fullLayout._drawing=!1;var n=e._fullLayout,i=r.plotinfo,a=r.dragmode,o=n._lastSelectedSubplot&&n._lastSelectedSubplot===i.id,s=(t.shiftKey||t.altKey)&&!(h(a)&&p(a));o&&s&&i.selection&&i.selection.selectionDefs&&!r.selectionDefs?(r.selectionDefs=i.selection.selectionDefs,r.mergedPolygons=i.selection.mergedPolygons):s&&i.selection||B(r),o||(E(e),n._lastSelectedSubplot=i.id)}function B(t){var e=t.dragmode,r=t.plotinfo,n=t.gd;if(n._fullLayout._activeShapeIndex>=0&&n._fullLayout._deactivateShape(n),h(e)){var 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r=this.bounds,n=(e.framewidth||0)/2,i=r[0][0]-n,a=r[0][1]-n,o=r[1][0]-i+n,s=r[1][1]-a+n;h.setRect(this.clipRect,i,a,o,s),this.bgRect.call(h.setRect,i,a,o,s).call(f.fill,e.bgcolor),this.xaxis._offset=i,this.xaxis._length=o,this.yaxis._offset=a,this.yaxis._length=s},S.updateFx=function(t,e){var r=this,i=r.graphDiv,a=r.bgRect,o=t.dragmode,s=t.clickmode;if(!r.isStatic){var u;\"select\"===o?u=function(t,e){(t.range={})[r.id]=[h([e.xmin,e.ymin]),h([e.xmax,e.ymax])]}:\"lasso\"===o&&(u=function(t,e,n){(t.lassoPoints={})[r.id]=n.filtered.map(h)});var f={element:r.bgRect.node(),gd:i,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:u},xaxes:[r.xaxis],yaxes:[r.yaxis],subplot:r.id,clickFn:function(t){2===t&&x(i)}};\"pan\"===o?(a.node().onmousedown=null,a.call(_(r,e)),a.on(\"dblclick.zoom\",(function(){var t=r.viewInitial,e={};for(var n in 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t=this,e=t.graphDiv,r=e._fullLayout,i=\"clip\"+r._uid+t.id;t.clipDef=r._clips.append(\"clipPath\").attr(\"id\",i),t.clipRect=t.clipDef.append(\"rect\"),t.framework=n.select(t.container).append(\"g\").attr(\"class\",\"geo \"+t.id).call(h.setClipUrl,i,e),t.project=function(e){var r=t.projection(e);return r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:\"x\",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:\"y\",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},m.setConvert(t.mockAxis,r)},S.saveViewInitial=function(t){var 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e=t._fullLayout,r=t.calcdata,i=e._subplots.geo,s=0;s<i.length;s++){var l=i[s],c=n(r,o,l),u=e[l]._subplot;u||(u=a({id:l,graphDiv:t,container:e._geolayer.node(),topojsonURL:t._context.topojsonURL,staticPlot:t._context.staticPlot}),e[l]._subplot=u),u.plot(c,e,t._promises)}},updateFx:function(t){for(var e=t._fullLayout,r=e._subplots.geo,n=0;n<r.length;n++){var i=e[r[n]];i._subplot.updateFx(e,i)}},clean:function(t,e,r,n){for(var i=n._subplots.geo||[],a=0;a<i.length;a++){var o=i[a],s=n[o]._subplot;!e[o]&&s&&(s.framework.remove(),s.clipDef.remove())}}}},{\"../../lib\":503,\"../../plots/get_data\":593,\"./geo\":588,\"./layout_attributes\":590,\"./layout_defaults\":591}],590:[function(t,e,r){\"use strict\";var n=t(\"../../components/color/attributes\"),i=t(\"../domain\").attributes,a=t(\"../../components/drawing/attributes\").dash,o=t(\"./constants\"),s=t(\"../../plot_api/edit_types\").overrideAll,l=t(\"../../lib/sort_object_keys\"),c={range:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},showgrid:{valType:\"boolean\",dflt:!1},tick0:{valType:\"number\",dflt:0},dtick:{valType:\"number\"},gridcolor:{valType:\"color\",dflt:n.lightLine},gridwidth:{valType:\"number\",min:0,dflt:1},griddash:a};(e.exports=s({domain:i({name:\"geo\"},{}),fitbounds:{valType:\"enumerated\",values:[!1,\"locations\",\"geojson\"],dflt:!1,editType:\"plot\"},resolution:{valType:\"enumerated\",values:[110,50],dflt:110,coerceNumber:!0},scope:{valType:\"enumerated\",values:l(o.scopeDefaults),dflt:\"world\"},projection:{type:{valType:\"enumerated\",values:l(o.projNames)},rotation:{lon:{valType:\"number\"},lat:{valType:\"number\"},roll:{valType:\"number\"}},tilt:{valType:\"number\",dflt:0},distance:{valType:\"number\",min:1.001,dflt:2},parallels:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},scale:{valType:\"number\",min:0,dflt:1}},center:{lon:{valType:\"number\"},lat:{valType:\"number\"}},visible:{valType:\"boolean\",dflt:!0},showcoastlines:{valType:\"boolean\"},coastlinecolor:{valType:\"color\",dflt:n.defaultLine},coastlinewidth:{valType:\"number\",min:0,dflt:1},showland:{valType:\"boolean\",dflt:!1},landcolor:{valType:\"color\",dflt:o.landColor},showocean:{valType:\"boolean\",dflt:!1},oceancolor:{valType:\"color\",dflt:o.waterColor},showlakes:{valType:\"boolean\",dflt:!1},lakecolor:{valType:\"color\",dflt:o.waterColor},showrivers:{valType:\"boolean\",dflt:!1},rivercolor:{valType:\"color\",dflt:o.waterColor},riverwidth:{valType:\"number\",min:0,dflt:1},showcountries:{valType:\"boolean\"},countrycolor:{valType:\"color\",dflt:n.defaultLine},countrywidth:{valType:\"number\",min:0,dflt:1},showsubunits:{valType:\"boolean\"},subunitcolor:{valType:\"color\",dflt:n.defaultLine},subunitwidth:{valType:\"number\",min:0,dflt:1},showframe:{valType:\"boolean\"},framecolor:{valType:\"color\",dflt:n.defaultLine},framewidth:{valType:\"number\",min:0,dflt:1},bgcolor:{valType:\"color\",dflt:n.background},lonaxis:c,lataxis:c},\"plot\",\"from-root\")).uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":365,\"../../components/drawing/attributes\":387,\"../../lib/sort_object_keys\":526,\"../../plot_api/edit_types\":536,\"../domain\":584,\"./constants\":587}],591:[function(t,e,r){\"use 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d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\"all\"):!!a,f=c?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[h]=r.showline),(l||u)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var 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n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":407,\"../../constants/xmlns_namespaces\":480,\"../../plot_api/edit_types\":536,\"../cartesian\":568,\"../cartesian/attributes\":552,\"../cartesian/constants\":561,\"../get_data\":593,\"../layout_attributes\":610,\"./scene2d\":597}],597:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"../../../stackgl_modules\").gl_plot2d,c=t(\"../../../stackgl_modules\").gl_spikes2d,u=t(\"../../../stackgl_modules\").gl_select_box,f=t(\"webgl-context\"),h=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),m=t(\"../cartesian/constraints\"),g=m.enforce,v=m.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[u.l+f[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-f[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=u.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+f[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var m=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[m.trace.index]||{},v=m.pointIndex,y=s.castHoverinfo(g,i,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(m.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(m.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(m.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(m.textLabel=void 0),-1===x.indexOf(\"name\")&&(m.name=void 0)}s.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",m.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:s.castHoverOption(g,v,\"bgcolor\")||m.color,borderColor:s.castHoverOption(g,v,\"bordercolor\"),fontFamily:s.castHoverOption(g,v,\"font.family\"),fontSize:s.castHoverOption(g,v,\"font.size\"),fontColor:s.castHoverOption(g,v,\"font.color\"),nameLength:s.castHoverOption(g,v,\"namelength\"),textAlign:s.castHoverOption(g,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../../stackgl_modules\":1124,\"../../components/dragelement/helpers\":384,\"../../components/fx\":406,\"../../lib/show_no_webgl_msg\":525,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"../cartesian/autorange\":553,\"../cartesian/constants\":561,\"../cartesian/constraints\":562,\"./camera\":594,\"./convert\":595,\"webgl-context\":331}],598:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../components/fx/layout_attributes\"),a=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":407,\"../../constants/xmlns_namespaces\":480,\"../../lib\":503,\"../../plot_api/edit_types\":536,\"../get_data\":593,\"./layout/attributes\":599,\"./layout/defaults\":603,\"./layout/layout_attributes\":604,\"./scene\":608}],599:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],600:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":366,\"../../../lib/extend\":493,\"../../../plot_api/edit_types\":536,\"../../cartesian/layout_attributes\":569}],601:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,13600/187).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},{\"../../../lib\":503,\"../../../plot_api/plot_template\":543,\"../../cartesian/axis_defaults\":556,\"../../cartesian/type_defaults\":582,\"./axis_attributes\":600,tinycolor2:312}],602:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":503,\"../../../lib/str2rgbarray\":528}],603:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),i=t(\"../../../components/color\"),a=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],f=0;f<u.length;f++)r(\"camera.\"+u[f]+\".x\"),r(\"camera.\"+u[f]+\".y\"),r(\"camera.\"+u[f]+\".z\");r(\"camera.projection.type\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",h?\"manual\":\"auto\");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var m=n.getDfltFromLayout(\"dragmode\");if(!1!==m&&!m)if(m=\"orbit\",t.camera&&t.camera.up){var g=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(g&&v&&y?y/Math.sqrt(g*g+v*v+y*y)>.999&&(m=\"turntable\"):m=\"turntable\")}else m=\"turntable\";r(\"dragmode\",m),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":366,\"../../../lib\":503,\"../../../registry\":638,\"../../get_data\":593,\"../../subplot_defaults\":632,\"./axis_defaults\":601,\"./layout_attributes\":604}],604:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),i=t(\"../../domain\").attributes,a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":503,\"../../../lib/extend\":493,\"../../domain\":584,\"./axis_attributes\":600}],605:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":528}],606:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t(\"../../cartesian/axes\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":503,\"../../cartesian/axes\":554}],607:[function(t,e,r){\"use strict\";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],608:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../../stackgl_modules\").gl_plot3d,o=a.createCamera,s=a.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),f=t(\"../../lib\"),h=f.preserveDrawingBuffer(),p=t(\"../../plots/cartesian/axes\"),d=t(\"../../components/fx\"),m=t(\"../../lib/str2rgbarray\"),g=t(\"../../lib/show_no_webgl_msg\"),v=t(\"./project\"),y=t(\"./layout/convert\"),x=t(\"./layout/spikes\"),b=t(\"./layout/tick_marks\");function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=y(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=i,t.canvas=n}return t};var T=!0;w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode||!T||h)e=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=t.glOptions.preserveDrawingBuffer=!0,this.glplot=s(t)}catch(r){h=t.glOptions.preserveDrawingBuffer=!1,e=!1}}}return T=!1,e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,m=0;m<c.length;++m)\"skip\"!==(t=e.traces[c[m]]).data.hoverinfo&&t.handlePick(h)&&(u=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var y=v(e.glplot.cameraParams,h.dataCoordinate);t=u.data;var x,_=r._fullData[t.index],w=h.index,T={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(_,e.fullLayout,w),A=(k||\"\").split(\"+\"),M=k&&\"all\"===k;_.hovertemplate||M||(-1===A.indexOf(\"x\")&&(T.xLabel=void 0),-1===A.indexOf(\"y\")&&(T.yLabel=void 0),-1===A.indexOf(\"z\")&&(T.zLabel=void 0),-1===A.indexOf(\"text\")&&(h.textLabel=void 0),-1===A.indexOf(\"name\")&&(u.name=void 0));var S=[];\"cone\"===t.type||\"streamtube\"===t.type?(T.uLabel=g(\"x\",h.traceCoordinate[3],t.uhoverformat),(M||-1!==A.indexOf(\"u\"))&&S.push(\"u: \"+T.uLabel),T.vLabel=g(\"y\",h.traceCoordinate[4],t.vhoverformat),(M||-1!==A.indexOf(\"v\"))&&S.push(\"v: \"+T.vLabel),T.wLabel=g(\"z\",h.traceCoordinate[5],t.whoverformat),(M||-1!==A.indexOf(\"w\"))&&S.push(\"w: \"+T.wLabel),T.normLabel=h.traceCoordinate[6].toPrecision(3),(M||-1!==A.indexOf(\"norm\"))&&S.push(\"norm: \"+T.normLabel),\"streamtube\"===t.type&&(T.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(M||-1!==A.indexOf(\"divergence\"))&&S.push(\"divergence: \"+T.divergenceLabel)),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push(\"value: \"+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):x=h.textLabel;var E={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:w};d.appendArrayPointValue(E,_,w),t._module.eventData&&(E=_._module.eventData(E,h,_,{},w));var L={points:[E]};if(e.fullSceneLayout.hovermode){var C=[];d.loneHover({trace:_,x:(.5+.5*y[0]/y[3])*s,y:(.5-.5*y[1]/y[3])*l,xLabel:T.xLabel,yLabel:T.yLabel,zLabel:T.zLabel,text:x,name:u.name,color:d.castHoverOption(_,w,\"bgcolor\")||u.color,borderColor:d.castHoverOption(_,w,\"bordercolor\"),fontFamily:d.castHoverOption(_,w,\"font.family\"),fontSize:d.castHoverOption(_,w,\"font.size\"),fontColor:d.castHoverOption(_,w,\"font.color\"),nameLength:d.castHoverOption(_,w,\"namelength\"),textAlign:d.castHoverOption(_,w,\"align\"),hovertemplate:f.castOption(_,w,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},E,T),eventData:[E]},{container:n,gd:r,inOut_bbox:C}),E.bbox=C[0]}h.buttons&&h.distance<5?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var k=[\"xaxis\",\"yaxis\",\"zaxis\"];function A(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(u||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(m(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&A(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var h=[1,1,1];for(o=0;o<3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var d,g=[[0,0,0],[0,0,0]],v=[],y={};for(a=0;a<3;++a){if((l=(s=c[k[a]]).type)in y?(y[l].acc*=h[a],y[l].count+=1):y[l]={acc:h[a],count:1},s.autorange){g[0][a]=1/0,g[1][a]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],T=w.bounds,M=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?g[0][a]=Math.min(g[0][a],s._lowerLogErrorBound):g[0][a]=Math.min(g[0][a],T[0][a]/h[a]-M),g[1][a]=Math.max(g[1][a],T[1][a]/h[a]+M)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);g[0][a]=Math.min(g[0][a],E),g[1][a]=Math.max(g[1][a],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(g[0][a]=Math.min(g[0][a],0),g[1][a]=Math.max(g[1][a],0)),g[0][a]>g[1][a])g[0][a]=-1,g[1][a]=1;else{var L=g[1][a]-g[0][a];g[0][a]-=L/32,g[1][a]+=L/32}if(\"reversed\"===s.autorange){var C=g[0][a];g[0][a]=g[1][a],g[1][a]=C}}else{var P=s.range;g[0][a]=s.r2l(P[0]),g[1][a]=s.r2l(P[1])}g[0][a]===g[1][a]&&(g[0][a]-=1,g[1][a]+=1),v[a]=g[1][a]-g[0][a],this.glplot.setBounds(a,{min:g[0][a]*h[a],max:g[1][a]*h[a]})}var I=c.aspectmode;if(\"cube\"===I)d=[1,1,1];else if(\"manual\"===I){var O=c.aspectratio;d=[O.x,O.y,O.z]}else{if(\"auto\"!==I&&\"data\"!==I)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var z=[1,1,1];for(a=0;a<3;++a){var D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+\".camera\").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+\".aspectratio\").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<e;++a)for(var o=0;o<4;++o){var s=4*(e*n+a)+o,l=4*(e*i+a)+o,c=t[s];t[s]=t[l],t[l]=c}}(a,r,i),function(t,e,r){for(var n=0;n<r;++n)for(var i=0;i<e;++i){var a=4*(e*n+i),o=t[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement(\"canvas\");o.width=r,o.height=i;var s,l=o.getContext(\"2d\",{willReadFrequently:!0}),c=l.createImageData(r,i);switch(c.data.set(a),l.putImageData(c,0,0),t){case\"jpeg\":s=o.toDataURL(\"image/jpeg\");break;case\"webp\":s=o.toDataURL(\"image/webp\");break;default:s=o.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(n),s},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[k[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(this._mockAxis,t)},e.exports=_},{\"../../../stackgl_modules\":1124,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/show_no_webgl_msg\":525,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"./layout/convert\":602,\"./layout/spikes\":605,\"./layout/tick_marks\":606,\"./project\":607,\"has-passive-events\":229,\"webgl-context\":331}],609:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;a<n;a++)i[a]=[t[a],e[a],r[a]];return i}},{}],610:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),i=t(\"./animation_attributes\"),a=t(\"../components/color/attributes\"),o=t(\"../components/shapes/draw_newshape/attributes\"),s=t(\"./pad_attributes\"),l=t(\"../lib/extend\").extendFlat,c=n({editType:\"calc\"});c.family.dflt='\"Open Sans\", verdana, arial, sans-serif',c.size.dflt=12,c.color.dflt=a.defaultLine,e.exports={font:c,title:{text:{valType:\"string\",editType:\"layoutstyle\"},font:n({editType:\"layoutstyle\"}),xref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},x:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"layoutstyle\"},y:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"left\",\"center\",\"right\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"layoutstyle\"},pad:l(s({editType:\"layoutstyle\"}),{}),editType:\"layoutstyle\"},uniformtext:{mode:{valType:\"enumerated\",values:[!1,\"hide\",\"show\"],dflt:!1,editType:\"plot\"},minsize:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"},autosize:{valType:\"boolean\",dflt:!1,editType:\"none\"},width:{valType:\"number\",min:10,dflt:700,editType:\"plot\"},height:{valType:\"number\",min:10,dflt:450,editType:\"plot\"},margin:{l:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},r:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},t:{valType:\"number\",min:0,dflt:100,editType:\"plot\"},b:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},pad:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},autoexpand:{valType:\"boolean\",dflt:!0,editType:\"plot\"},editType:\"plot\"},computed:{valType:\"any\",editType:\"none\"},paper_bgcolor:{valType:\"color\",dflt:a.background,editType:\"plot\"},plot_bgcolor:{valType:\"color\",dflt:a.background,editType:\"layoutstyle\"},autotypenumbers:{valType:\"enumerated\",values:[\"convert types\",\"strict\"],dflt:\"convert types\",editType:\"calc\"},separators:{valType:\"string\",editType:\"plot\"},hidesources:{valType:\"boolean\",dflt:!1,editType:\"plot\"},showlegend:{valType:\"boolean\",editType:\"legend\"},colorway:{valType:\"colorlist\",dflt:a.defaults,editType:\"calc\"},datarevision:{valType:\"any\",editType:\"calc\"},uirevision:{valType:\"any\",editType:\"none\"},editrevision:{valType:\"any\",editType:\"none\"},selectionrevision:{valType:\"any\",editType:\"none\"},template:{valType:\"any\",editType:\"calc\"},newshape:o.newshape,activeshape:o.activeshape,meta:{valType:\"any\",arrayOk:!0,editType:\"plot\"},transition:l({},i.transition,{editType:\"none\"}),_deprecated:{title:{valType:\"string\",editType:\"layoutstyle\"},titlefont:n({editType:\"layoutstyle\"})}}},{\"../components/color/attributes\":365,\"../components/shapes/draw_newshape/attributes\":451,\"../lib/extend\":493,\"./animation_attributes\":548,\"./font_attributes\":585,\"./pad_attributes\":618}],611:[function(t,e,r){\"use strict\";var n=t(\"../../lib/sort_object_keys\"),i='\\xa9 <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',a=['\\xa9 <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',i].join(\" \"),o=['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">ODbL</a>'].join(\" \"),s={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:i,tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}]},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}]},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-terrain\",type:\"raster\",source:\"plotly-stamen-terrain\",minzoom:0,maxzoom:22}]},\"stamen-toner\":{id:\"stamen-toner\",version:8,sources:{\"plotly-stamen-toner\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-toner\",type:\"raster\",source:\"plotly-stamen-toner\",minzoom:0,maxzoom:22}]},\"stamen-watercolor\":{id:\"stamen-watercolor\",version:8,sources:{\"plotly-stamen-watercolor\":{type:\"raster\",attribution:['Map 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t&&(-1!==p.styleValuesMapbox.indexOf(t)||0===t.indexOf(\"mapbox://\"))}r.name=\"mapbox\",r.attr=\"subplot\",r.idRoot=\"mapbox\",r.idRegex=r.attrRegex=i.counterRegex(\"mapbox\"),r.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}},r.layoutAttributes=t(\"./layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout_defaults\"),r.plot=function(t){var e=t._fullLayout,r=t.calcdata,a=e._subplots.mapbox;if(n.version!==p.requiredVersion)throw new Error(p.wrongVersionErrorMsg);var o=function(t,e){var r=t._fullLayout;if(\"\"===t._context.mapboxAccessToken)return\"\";for(var n=[],a=[],o=!1,s=!1,l=0;l<e.length;l++){var c=r[e[l]],u=c.accesstoken;d(c.style)&&(u?i.pushUnique(n,u):(d(c._input.style)&&(i.error(\"Uses Mapbox map style, but did not set an access token.\"),o=!0),s=!0)),u&&i.pushUnique(a,u)}if(s){var f=o?p.noAccessTokenErrorMsg:p.missingStyleErrorMsg;throw i.error(f),new Error(f)}return 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m=c.select(s._subplot.div);if(!(null===m.select(\".mapboxgl-ctrl-logo\").node().offsetParent)){var g=e._glimages.append(\"g\");g.attr(\"transform\",a(n.l+n.w*h.x[0]+10,n.t+n.h*(1-h.y[0])-31)),g.append(\"path\").attr(\"d\",p.mapboxLogo.path0).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"}),g.append(\"path\").attr(\"d\",p.mapboxLogo.path1).style(\"opacity\",.35).style(\"enable-background\",\"new\"),g.append(\"path\").attr(\"d\",p.mapboxLogo.path2).style(\"opacity\",.35).style(\"enable-background\",\"new\"),g.append(\"polygon\").attr(\"points\",p.mapboxLogo.polygon).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"})}var v=m.select(\".mapboxgl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),y=e._glimages.append(\"g\"),x=y.append(\"text\");x.text(v).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":v});var b=u.bBox(x.node()),_=n.w*(h.x[1]-h.x[0]);if(b.width>_/2){var w=v.split(\"|\").join(\"<br>\");x.text(w).attr(\"data-unformatted\",w).call(f.convertToTspans,t),b=u.bBox(x.node())}x.attr(\"transform\",a(-3,8-b.height)),y.insert(\"rect\",\".static-attribution\").attr({x:-b.width-6,y:-b.height-3,width:b.width+6,height:b.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var T=1;b.width+6>_&&(T=_/(b.width+6));var k=[n.l+n.w*h.x[1],n.t+n.h*(1-h.y[0])];y.attr(\"transform\",a(k[0],k[1])+o(T))}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.mapbox,n=0;n<r.length;n++){e[r[n]]._subplot.updateFx(e)}}},{\"../../components/drawing\":388,\"../../constants/xmlns_namespaces\":480,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/get_data\":593,\"./constants\":611,\"./layout_attributes\":615,\"./layout_defaults\":616,\"./mapbox\":617,\"@plotly/d3\":58,\"mapbox-gl/dist/mapbox-gl-unminified\":239}],614:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../lib/svg_text_utils\").sanitizeHTML,a=t(\"./convert_text_opts\"),o=t(\"./constants\");function s(t,e){this.subplot=t,this.uid=t.uid+\"-\"+e,this.index=e,this.idSource=\"source-\"+this.uid,this.idLayer=o.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var l=s.prototype;function c(t){if(!t.visible)return!1;var e=t.source;if(Array.isArray(e)&&e.length>0){for(var r=0;r<e.length;r++)if(\"string\"!=typeof e[r]||0===e[r].length)return!1;return!0}return n.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function u(t){var e={},r={};switch(t.type){case\"circle\":n.extendFlat(r,{\"circle-radius\":t.circle.radius,\"circle-color\":t.color,\"circle-opacity\":t.opacity});break;case\"line\":n.extendFlat(r,{\"line-width\":t.line.width,\"line-color\":t.color,\"line-opacity\":t.opacity,\"line-dasharray\":t.line.dash});break;case\"fill\":n.extendFlat(r,{\"fill-color\":t.color,\"fill-outline-color\":t.fill.outlinecolor,\"fill-opacity\":t.opacity});break;case\"symbol\":var i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var e,r=t.sourcetype,n=t.source,a={type:r};\"geojson\"===r?e=\"data\":\"vector\"===r?e=\"string\"==typeof n?\"url\":\"tiles\":\"raster\"===r?(e=\"tiles\",a.tileSize=256):\"image\"===r&&(e=\"url\",a.coordinates=t.coordinates);a[e]=n,t.sourceattribution&&(a.attribution=i(t.sourceattribution));return a}(t);e.addSource(this.idSource,r)}},l.findFollowingMapboxLayerId=function(t){if(\"traces\"===t)for(var e=this.subplot.getMapLayers(),r=0;r<e.length;r++){var n=e[r].id;if(\"string\"==typeof n&&0===n.indexOf(o.traceLayerPrefix)){t=n;break}}return t},l.updateLayer=function(t){var e=this.subplot,r=u(t),n=this.lookupBelow(),i=this.findFollowingMapboxLayerId(n);this.removeLayer(),c(t)&&e.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":t.sourcelayer||\"\",type:t.type,minzoom:t.minzoom,maxzoom:t.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=t.type,this.below=n},l.updateStyle=function(t){if(c(t)){var e=u(t);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",e.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",e.paint)}},l.removeLayer=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer)},l.dispose=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer),t.getSource(this.idSource)&&t.removeSource(this.idSource)},e.exports=function(t,e,r){var n=new s(t,e);return n.update(r),n}},{\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"./constants\":611,\"./convert_text_opts\":612}],615:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\").defaultLine,a=t(\"../domain\").attributes,o=t(\"../font_attributes\"),s=t(\"../../traces/scatter/attributes\").textposition,l=t(\"../../plot_api/edit_types\").overrideAll,c=t(\"../../plot_api/plot_template\").templatedArray,u=t(\"./constants\"),f=o({});f.family.dflt=\"Open Sans Regular, Arial Unicode MS 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e,r,s=this,c=s.isSmith,u=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,m=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,I=E.clampTiny,O=E.findXYatLength,z=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(f,\"path\",\"maindrag\",!1===t.dragmode?\"none\":\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){y.hover(u,t,s.id),u._fullLayout._lasthover=F,u._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){u._dragging||v.unhover(u,t)};var B,N,j,U,V,H,q,G,Y,W={element:F,gd:u,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function J(t,e){return Math.atan2(M-e,t-A)}function K(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function Q(t,e){if(0===t)return s.pathSector(2*D);var 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O,z,D,B=g.makeRectDragger(u,T,\"crosshair\",-x,-x,y,y),N={element:B,gd:c};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),m.visible&&h<f,{transform:l(b,_)}),N.prepFn=function(){O=null,z=null,D=null,N.moveFn=j,N.doneFn=H,w(c)},N.clampFn=function(t,e){return Math.sqrt(t*t+e*e)<S.MINDRAG&&(t=0,e=0),[t,e]},v.init(N)}function j(t,e){if(O)O(t,e);else{var n=[t,-e],a=[Math.cos(M),Math.sin(M)],s=Math.abs(o.dot(n,a)/Math.sqrt(o.dot(n,n)));isNaN(s)||(O=s<.5?q:G)}var l={};!function(t){null!==z?t[i.id+\".radialaxis.angle\"]=z:null!==D&&(t[i.id+\".radialaxis.range[\"+r+\"]\"]=D)}(l),c.emit(\"plotly_relayouting\",l)}function H(){null!==z?a.call(\"_guiRelayout\",c,i.id+\".radialaxis.angle\",z):null!==D&&a.call(\"_guiRelayout\",c,i.id+\".radialaxis.range[\"+r+\"]\",D)}function q(t,e){if(0!==r){var n=b+t,a=_+e;z=Math.atan2(d-a,n-p),i.vangles&&(z=U(z,i.vangles)),z=F(z);var o=l(p,d)+s(-z);u[\"radial-axis\"].attr(\"transform\",o),u[\"radial-line\"].select(\"line\").attr(\"transform\",o);var 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e=this.graphDiv,r=t[this.id],n=this.clipId=\"clip\"+this.layoutId+this.id,i=this.clipIdRelative=\"clip-relative\"+this.layoutId+this.id;this.clipDef=o.ensureSingleById(t._clips,\"clipPath\",n,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.clipDefRelative=o.ensureSingleById(t._clips,\"clipPath\",i,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.plotContainer=o.ensureSingle(this.container,\"g\",this.id),this.updateLayers(r),u.setClipUrl(this.layers.backplot,n,e),u.setClipUrl(this.layers.grids,n,e)},S.updateLayers=function(t){var e=this.layers,r=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];\"below traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"below traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"below traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\"),r.push(\"frontplot\"),\"above traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"above traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"above 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r,n,i,a,o,l,p=this,d=t.domain,m=(d.x[0]+d.x[1])/2,g=(d.y[0]+d.y[1])/2,v=d.x[1]-d.x[0],y=d.y[1]-d.y[0],x=v*e.w,b=y*e.h,_=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*m-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[m-o/2,m+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[g-l/2,g+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var 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D=s(r+i/2,n)+\"rotate(-30)\"+s(0,-L._offset);p.layers.caxis.attr(\"transform\",D),p.layers.cgrid.attr(\"transform\",D),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(c.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(c.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",L.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(c.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),u.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var 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L=A.MINZOOM/2+.87,C=\"m-0.87,.5h\"+L+\"v3h-\"+(L+5.2)+\"l\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l2.6,1.5l-\"+L/2+\",\"+.87*L+\"Z\",P=\"m0.87,.5h-\"+L+\"v3h\"+(L+5.2)+\"l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-2.6,1.5l\"+L/2+\",\"+.87*L+\"Z\",I=\"m0,1l\"+L/2+\",\"+.87*L+\"l2.6,-1.5l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-\"+(L/2+2.6)+\",\"+(.87*L+4.5)+\"l2.6,1.5l\"+L/2+\",-\"+.87*L+\"Z\",O=!0;function z(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearSelect=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,v,b,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),L=M.graphDiv,D=L._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var 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r=t/M.xaxis._m,n=e/M.yaxis._m,i=[(p={a:f.a-n,b:f.b+(r+n)/2,c:f.c-(r-n)/2}).a,p.b,p.c].sort(o.sorterAsc),a=i.indexOf(p.a),l=i.indexOf(p.b),c=i.indexOf(p.c);i[0]<0&&(i[1]+i[0]/2<0?(i[2]+=i[0]+i[1],i[0]=i[1]=0):(i[2]+=i[0]/2,i[1]+=i[0]/2,i[0]=0),p={a:i[a],b:i[l],c:i[c]},e=(f.a-p.a)*M.yaxis._m,t=(f.c-p.c-f.b+p.b)*M.xaxis._m);var h=s(M.x0+t,M.y0+e);M.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",h);var d=s(-t,-e);M.clipDefRelative.select(\"path\").attr(\"transform\",d),M.aaxis.range=[p.a,M.sum-p.b-p.c],M.baxis.range=[M.sum-p.a-p.c,p.b],M.caxis.range=[M.sum-p.a-p.b,p.c],M.drawAxes(!1),M._hasClipOnAxisFalse&&M.plotContainer.select(\".scatterlayer\").selectAll(\".trace\").call(u.hideOutsideRangePoints,M),L.emit(\"plotly_relayouting\",R(p))}function 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n=t(\"../../components/colorscale/defaults\"),i=t(\"./label_defaults\");e.exports=function(t,e,r,a,o){var s,l=r(\"contours.coloring\"),c=\"\";\"fill\"===l&&(s=r(\"contours.showlines\")),!1!==s&&(\"lines\"!==l&&(c=r(\"line.color\",\"#000\")),r(\"line.width\",.5),r(\"line.dash\")),\"none\"!==l&&(!0!==t.showlegend&&(e.showlegend=!1),e._dfltShowLegend=!1,n(t,e,a,r,{prefix:\"\",cLetter:\"z\"})),r(\"line.smoothing\"),i(r,a,c,o)}},{\"../../components/colorscale/defaults\":376,\"./label_defaults\":750}],757:[function(t,e,r){\"use strict\";var n=t(\"../heatmap/attributes\"),i=t(\"../contour/attributes\"),a=t(\"../../components/colorscale/attributes\"),o=t(\"../../lib/extend\").extendFlat,s=i.contours;e.exports=o({carpet:{valType:\"string\",editType:\"calc\"},z:n.z,a:n.x,a0:n.x0,da:n.dx,b:n.y,b0:n.y0,db:n.dy,text:n.text,hovertext:n.hovertext,transpose:n.transpose,atype:n.xtype,btype:n.ytype,fillcolor:i.fillcolor,autocontour:i.autocontour,ncontours:i.ncontours,contours:{type:s.type,start:s.start,end:s.end,size:s.size,coloring:{valType:\"enumerated\",values:[\"fill\",\"lines\",\"none\"],dflt:\"fill\",editType:\"calc\"},showlines:s.showlines,showlabels:s.showlabels,labelfont:s.labelfont,labelformat:s.labelformat,operation:s.operation,value:s.value,editType:\"calc\",impliedEdits:{autocontour:!1}},line:{color:i.line.color,width:i.line.width,dash:i.line.dash,smoothing:i.line.smoothing,editType:\"plot\"},transforms:void 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n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":908}],789:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":503,\"./layout_attributes\":788}],790:[function(t,e,r){\"use strict\";var 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n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat;e.exports=u({z:{valType:\"data_array\",editType:\"calc\"},x:u({},n.x,{impliedEdits:{xtype:\"array\"}}),x0:u({},n.x0,{impliedEdits:{xtype:\"scaled\"}}),dx:u({},n.dx,{impliedEdits:{xtype:\"scaled\"}}),y:u({},n.y,{impliedEdits:{ytype:\"array\"}}),y0:u({},n.y0,{impliedEdits:{ytype:\"scaled\"}}),dy:u({},n.dy,{impliedEdits:{ytype:\"scaled\"}}),xperiod:u({},n.xperiod,{impliedEdits:{xtype:\"scaled\"}}),yperiod:u({},n.yperiod,{impliedEdits:{ytype:\"scaled\"}}),xperiod0:u({},n.xperiod0,{impliedEdits:{xtype:\"scaled\"}}),yperiod0:u({},n.yperiod0,{impliedEdits:{ytype:\"scaled\"}}),xperiodalignment:u({},n.xperiodalignment,{impliedEdits:{xtype:\"scaled\"}}),yperiodalignment:u({},n.yperiodalignment,{impliedEdits:{ytype:\"scaled\"}}),text:{valType:\"data_array\",editType:\"calc\"},hovertext:{valType:\"data_array\",editType:\"calc\"},transpose:{valType:\"boolean\",dflt:!1,editType:\"calc\"},xtype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},ytype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},zsmooth:{valType:\"enumerated\",values:[\"fast\",\"best\",!1],dflt:!1,editType:\"calc\"},hoverongaps:{valType:\"boolean\",dflt:!0,editType:\"none\"},connectgaps:{valType:\"boolean\",editType:\"calc\"},xgap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},ygap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},xhoverformat:o(\"x\"),yhoverformat:o(\"y\"),zhoverformat:o(\"z\",1),hovertemplate:s(),texttemplate:l({arrayOk:!1,editType:\"plot\"},{keys:[\"x\",\"y\",\"z\",\"text\"]}),textfont:a({editType:\"plot\",autoSize:!0,autoColor:!0,colorEditType:\"style\"}),showlegend:u({},i.showlegend,{dflt:!1})},{transforms:void 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W=_.selectAll(\"g.gauge-outline\").data([x]);W.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),W.select(\"path\").call(P).call(T),W.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Y,layer:W,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=O.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=O.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,c,u=r[0].trace,f=n.gauge,p=n.layer,m=n.gaugeBg,g=n.gaugeOutline,v=n.size,x=u.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(v.l,v.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}var C=[m].concat(u.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../surface/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat;e.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],869:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../../stackgl_modules\").delaunay_triangulate,a=t(\"../../../stackgl_modules\").alpha_shape,o=t(\"../../../stackgl_modules\").convex_hull,s=t(\"../../lib/gl_format_color\").parseColorScale,l=t(\"../../lib/str2rgbarray\"),c=t(\"../../components/colorscale\").extractOpts,u=t(\"../../plots/gl3d/zip3\");function f(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var h=f.prototype;function p(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=l(t[n]);return e}function d(t,e,r,n){for(var i=[],a=e.length,o=0;o<a;o++)i[o]=t.d2l(e[o],0,n)*r;return i}function m(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function g(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}h.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return Array.isArray(r)&&void 0!==r[e]?t.textLabel=r[e]:r&&(t.textLabel=r),!0}},h.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var n,f=t.x.length,h=u(d(r.xaxis,t.x,e.dataScale[0],t.xcalendar),d(r.yaxis,t.y,e.dataScale[1],t.ycalendar),d(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&&t.j&&t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!g(t.i,f)||!g(t.j,f)||!g(t.k,f))return;n=u(m(t.i),m(t.j),m(t.k))}else n=0===t.alphahull?o(h):t.alphahull>0?a(t.alphahull,h):function(t,e){for(var r=[\"x\",\"y\",\"z\"].indexOf(t),n=[],a=e.length,o=0;o<a;o++)n[o]=[e[o][(r+1)%3],e[o][(r+2)%3]];return i(n)}(t.delaunayaxis,h);var v={positions:h,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:l(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var y=c(t);this.color=\"#fff\";var x=t.intensitymode;v[x+\"Intensity\"]=t.intensity,v[x+\"IntensityBounds\"]=[y.min,y.max],v.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],v.vertexColors=p(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],v.cellColors=p(t.facecolor)):(this.color=t.color,v.meshColor=l(t.color));this.mesh.update(v)},h.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new 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n=t(\"../../lib\").extendFlat,i=t(\"../scatter/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../components/drawing/attributes\").dash,s=t(\"../../components/fx/attributes\"),l=t(\"../../constants/delta.js\"),c=l.INCREASING.COLOR,u=l.DECREASING.COLOR,f=i.line;function 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E=S.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);S.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(E),S.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;A.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){c.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),M.append(\"text\").attr(\"class\",\"dimlabel\"),A.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),A.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),A.exit().remove(),w.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",I).on(\"dragend\",O)),u.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),u.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function m(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=y(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,a,l,c=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),m=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=c&&c<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],v=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+v.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=u.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+m.left,y:_-d.top+m.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function v(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(m),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function y(t){for(var e=[],r=z(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return u.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,y(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,y(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var m=u.model.count,g=u.model.categoryLabel,v=m/u.parcatsViewModel.model.count,y={countLabel:m,categoryLabel:g,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",y.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+y.categoryLabel+\"):\",y.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:y,eventData:[{data:p._input,fullData:p,count:m,category:g,probability:v}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron;if(\"color\"===l?(!function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(this),S(this,\"plotly_hover\",n.event)):(!function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(this),M(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===l?e=E(r,a,this):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),f=c.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,m=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=f.model.categoryLabel,v=c.parcatsViewModel.model.count,y=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===c.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color \\u2229 \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=u.mostReadable(c.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(m-e.top),text:M,color:c.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,a,this):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,this)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function C(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(m),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event)}}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],f=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=z(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),D(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function D(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr(\"transform\",(function(t){return l(t.x,0)})),r(i).attr(\"transform\",(function(t){return l(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(c*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var m={trace:o,key:o.uid,model:i,x:h,y:p,width:u,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(m),N(m)),m}function B(t,e,r,n,a){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),c.push(o(1-a));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+n+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),m=0;m<c.length;m++){var g,v=c[m];g=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var 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n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":503}],896:[function(t,e,r){\"use strict\";var n=t(\"./base_index\");n.plot=t(\"./plot\"),e.exports=n},{\"./base_index\":890,\"./plot\":900}],897:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 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);\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 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I(t){r=t.model,n=t.viewModel,l=n.dimensions.slice(),g=l[0]?l[0].values.length:0;var e=r.lines,i=w?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var l=0;l<o;l++)i[a++]=l<e.length?e[l].paddedUnitValues[s]:.5;i[a++]=d(s,2),i[a++]=d(s,1),i[a++]=d(s,0),i[a++]=(n=r[s],Math.max(1e-6,Math.min(.999999,n)))}return i}(g,l,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[v(n)](m(n/4,e,r))}(E,g,a),_||w||(L=T.texture(s.extendFlat({data:p(r.unitToColor,255)},u)))}return{render:function(t,e,n){var i,a,o,s=t.length,c=1/0,u=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<c&&(c=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>u&&(u=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<l.length?l[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<l.length;e++){var 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i=new Uint8Array(4*r*n);return T.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style[\"pointer-events\"]=\"none\",L.destroy(),b&&b.destroy(),E)E[e].destroy()},update:I}}},{\"../../lib\":503,\"./constants\":893,glslify:227}],898:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},{}],899:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"color-rgba\"),s=t(\"../../plots/cartesian/axes\"),l=i.strRotate,c=i.strTranslate,u=t(\"../../lib/svg_text_utils\"),f=t(\"../../components/drawing\"),h=t(\"../../components/colorscale\"),p=t(\"../../lib/gup\"),d=p.keyFun,m=p.repeat,g=p.unwrap,v=t(\"./helpers\"),y=t(\"./constants\"),x=t(\"./axisbrush\"),b=t(\"./lines\");function _(t,e,r){return i.aggNums(t,null,e,r)}function w(t,e){return k(_(Math.min,t,e),_(Math.max,t,e))}function T(t){var e=t.range;return e?k(e[0],e[1]):w(t.values,t._length)}function k(t,e){return!isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function A(t,e,r,i,o){var s,l,c=T(r);return i?n.scale.ordinal().domain(i.map((s=a(r.tickformat),l=o,l?function(t,e){var r=l[e];return null==r?s(t):r}:s))).range(i.map((function(r){var n=(r-c[0])/(c[1]-c[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(c).range([t-e,e])}function M(t){if(t.tickvals){var e=T(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function S(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=o(t[1]);return n.rgb(\"rgb(\"+e[0]+\",\"+e[1]+\",\"+e[2]+\")\")})),i=\"rgb\".split(\"\").map((function(t){return n.scale.linear().clamp(!0).domain(e).range(r.map((i=t,function(t){return t[i]})));var i}));return function(t){return i.map((function(e){return 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n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top 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r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(c=new Array(h),r=0;r<h;r++)c[r]=String(e.label0+r*e.dlabel);var d={},m=s(o[\"_\"+e.type+\"colormap\"]),g=0,v=!1;for(r=0;r<h;r++){var y,x,b;if(p){if(y=f[r],!n(y))continue;y=+y}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=y),a.push({v:y,label:x,color:m(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(g+=y),!1===i.color&&u[r]&&(i.color=m(u[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":366,\"fast-isnumeric\":190,tinycolor2:312}],904:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var m=c(\"textposition\");s(t,e,n,c,m,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(m)||\"auto\"===m||\"outside\"===m)&&c(\"automargin\"),(\"inside\"===m||\"auto\"===m||Array.isArray(m))&&c(\"insidetextorientation\")}o(e,n,c);var g=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",g?\"middle center\":\"top center\");g||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":503,\"../../plots/domain\":584,\"../bar/defaults\":652,\"./attributes\":901,\"fast-isnumeric\":190}],905:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":402}],906:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},{\"../../lib\":503}],907:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":901,\"./base_plot\":902,\"./calc\":903,\"./defaults\":904,\"./layout_attributes\":908,\"./layout_defaults\":909,\"./plot\":910,\"./style\":911,\"./style_one\":912}],908:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],909:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":503,\"./layout_attributes\":908}],910:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/plots\"),a=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=l.strScale,u=l.strTranslate,f=t(\"../../lib/svg_text_utils\"),h=t(\"../bar/uniform_text\"),p=h.recordMinTextSize,d=h.clearMinTextSize,m=t(\"../bar/constants\").TEXTPAD,g=t(\"./helpers\"),v=t(\"./event_data\"),y=t(\"../../lib\").isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u=\"funnelarea\"===c.type;\"_hasHoverLabel\"in c||(c._hasHoverLabel=!1),\"_hasHoverEvent\"in c||(c._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[c.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:c._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),m=s+t.pxmid[1]*(1-p),y=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,y),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,y),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:m,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:m-p*i.r,_y1:u?s+t.BL[1]:m+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,f=\"horizontal\"===u,h=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,m=[];if(!d){var g,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\"tan\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,m.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)v(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)v(Math.PI*(g+1),\"tan\")}if(f||p){for(g=4;g>=-4;g-=2)v(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)v(Math.PI*(g+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;m.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a));for(var x=0,b=0,_=0;_<m.length;_++){var w=m[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return m[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+I(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},f=u(\"label\"),h=u(\"text\"),p=u(\"value\"),d=u(\"percent\"),m=n.separators;if(s=f?[e.label]:[],h){var v=g.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(g.formatPieValue(e.v,m)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\"pie\",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],m=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,s+=l*r.v/2,n=z(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\"stroke-linejoin\",\"round\"),h.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=m.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll(\"path.surface\").data([i]);if(h.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(x,t,e),m.pull){var v=+g.castOption(m.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=m.hole;if(i.v===d.vTotal){var k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+\"l\"+M*i.px0[0]+\",\"+M*i.px0[1]+A+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+A+\"Z\")}D(t,i,d);var S=g.castOption(m.textposition,i.pts),E=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==S?[0]:[]);E.enter().append(\"g\").classed(\"slicetext\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===S?function(t,e,r){var n=g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,i=g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(m,i,r.font):b(m,i,r.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\"outside\"===S)v=L(y,i);else if(v=w(y,i,d),\"auto\"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,m.outsidetextfont);u.call(s.font,x),v=L(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:z(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var A=v.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(m.type,v,r),e[a].transform=v,u.attr(\"transform\",l.getTextTransform(v))}))}function C(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*d.r+\",\"+n*d.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var T=n.select(this).selectAll(\"g.titletext\").data(m.title.text?[0]:[]);if(T.enter().append(\"g\").classed(\"titletext\",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=m.title.text;m._meta&&(i=l.templateString(i,m._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,m.title.font).call(f.convertToTspans,t),e=\"middle center\"===m.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):C(d,a),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function m(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"./render\"),s=t(\"../../components/fx\"),l=t(\"../../components/color\"),c=t(\"./constants\").cn,u=i._;function f(t){return\"\"!==t}function h(t,e){return t.filter((function(t){return t.key===e.traceId}))}function p(t,e){n.select(t).select(\"path\").style(\"fill-opacity\",e),n.select(t).select(\"rect\").style(\"fill-opacity\",e)}function d(t){n.select(t).select(\"text.name\").style(\"fill\",\"black\")}function m(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function g(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function v(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(m(e)).call(x.bind(0,e,r,!1))}function y(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(m(e)).call(b.bind(0,e,r,!1))}function x(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),r&&h(e,t).selectAll(\".\"+c.sankeyNode).filter(g(t)).call(v)}function b(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(c.sankeyNode).filter(g(t)).call(y)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}e.exports=function(t,e){for(var r=t._fullLayout,i=r._paper,h=r._size,m=0;m<t._fullData.length;m++)if(t._fullData[m].visible&&t._fullData[m].type===c.sankey&&!t._fullData[m]._viewInitial){var g=t._fullData[m].node;t._fullData[m]._viewInitial={node:{groups:g.groups.slice(),x:g.x.slice(),y:g.y.slice()}}}var w=u(t,\"source:\")+\" \",T=u(t,\"target:\")+\" \",k=u(t,\"concentration:\")+\" \",A=u(t,\"incoming flow count:\")+\" \",M=u(t,\"outgoing flow count:\")+\" \";o(t,i,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{linkEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(x.bind(0,r,i,!0)),\"skip\"!==r.link.trace.link.hoverinfo&&(r.link.fullData=r.link.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.link]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.link.trace.link;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){for(var c=[],u=0,h=0;h<i.flow.links.length;h++){var m=i.flow.links[h];if(\"closest\"!==t._fullLayout.hovermode||i.link.pointNumber===m.pointNumber){i.link.pointNumber===m.pointNumber&&(u=h),m.fullData=m.trace,o=i.link.trace.link;var g=y(m),v={valueLabel:a(i.valueFormat)(m.value)+i.valueSuffix};c.push({x:g[0],y:g[1],name:v.valueLabel,text:[m.label||\"\",w+m.source.label,T+m.target.label,m.concentrationscale?k+a(\"%0.2f\")(m.flow.labelConcentration):\"\"].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||l.addOpacity(m.color,1),borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:n.event.x<g[0]?\"right\":\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:v,eventData:[m]})}}s.loneHover(c,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:u}).each((function(){i.link.concentrationscale||p(this,.65),d(this)}))}}function y(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var n=[e,r];return\"v\"===t.trace.orientation&&n.reverse(),n[0]+=i.parent.translateX,n[1]+=i.parent.translateY,n}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(b.bind(0,i,a,!0)),\"skip\"!==i.link.trace.link.hoverinfo&&(i.link.fullData=i.link.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.link]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r){var i=r.link;i.originalEvent=n.event,t._hoverdata=[i],s.click(t,{target:!0})}},nodeEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(v,r,i),\"skip\"!==r.node.trace.node.hoverinfo&&(r.node.fullData=r.node.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.node]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.node.trace.node;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){var l=n.select(e).select(\".\"+c.nodeRect),u=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=l.node().getBoundingClientRect(),m=h.left-2-u.left,g=h.right+2-u.left,v=h.top+h.height/4-u.top,y={valueLabel:a(i.valueFormat)(i.node.value)+i.valueSuffix};i.node.fullData=i.node.trace,t._fullLayout._calcInverseTransform(t);var x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*m,x1:x*g,y:b*v,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||i.tinyColorHue,borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(y,i,a),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(y,r,i),s.click(t,{target:!0})}}})}},{\"../../components/color\":366,\"../../components/fx\":406,\"../../lib\":503,\"./constants\":920,\"./render\":924,\"@plotly/d3\":58}],924:[function(t,e,r){\"use strict\";var n=t(\"d3-force\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"@plotly/d3\"),o=t(\"@plotly/d3-sankey\"),s=t(\"@plotly/d3-sankey-circular\"),l=t(\"./constants\"),c=t(\"tinycolor2\"),u=t(\"../../components/color\"),f=t(\"../../components/drawing\"),h=t(\"../../lib\"),p=h.strTranslate,d=h.strRotate,m=t(\"../../lib/gup\"),g=m.keyFun,v=m.repeat,y=m.unwrap,x=t(\"../../lib/svg_text_utils\"),b=t(\"../../registry\"),_=t(\"../../constants/alignment\"),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=y(e),a=i.trace,u=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,m=t.width*(u.x[1]-u.x[0]),g=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[m,g]:[g,m]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=c(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*m,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}if(\"snap\"===a.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(v=k.nodes));n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:m,height:g,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?g:m,dragPerpendicular:f?m:g,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=c(e.color),i=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"L\"+n.targetX+\" \"+(n.targetY-r)+\"Z\":\"M \"+n.targetX+\" \"+(n.targetY-r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,a=t.link.source.x1,o=t.link.target.x0,s=i(a,o),l=s(.5),c=s(.5),u=t.link.y0-t.link.width/2,f=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,p=t.link.y1+t.link.width/2;return\"M\"+a+\",\"+u+\"C\"+l+\",\"+u+\" \"+c+\",\"+h+\" 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e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function 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g=\"projection.\"+d[m];f(g+\".show\")&&(f(g+\".opacity\"),f(g+\".scale\"))}var v=n.getComponentMethod(\"errorbars\",\"supplyDefaults\");v(t,e,h||p||r,{axis:\"z\"}),v(t,e,h||p||r,{axis:\"y\",inherit:\"z\"}),v(t,e,h||p||r,{axis:\"x\",inherit:\"z\"})}else e.visible=!1}},{\"../../lib\":503,\"../../registry\":638,\"../scatter/line_defaults\":940,\"../scatter/marker_defaults\":946,\"../scatter/subtypes\":952,\"../scatter/text_defaults\":953,\"./attributes\":955}],960:[function(t,e,r){\"use 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n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/template_attributes\").texttemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=n.line,f=c.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:l({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:f.width,editType:\"calc\"},s(\"marker.line\")),gradient:c.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:a()}},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/template_attributes\":633,\"../scatter/attributes\":927}],962:[function(t,e,r){\"use 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n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),f=t(\"./attributes\");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),m=p(\"b\"),g=Math.min(d.length,m.length);if(g){e._length=g,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",g<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,h,p),l(t,e,p),p(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&c(t,e,h,p);var v=[];(a.hasMarkers(e)||a.hasText(e))&&(p(\"marker.maxdisplayed\"),v.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),a.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),\"fills\"!==p(\"hoveron\",v.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":503,\"../scatter/constants\":931,\"../scatter/fillcolor_defaults\":935,\"../scatter/line_defaults\":940,\"../scatter/line_shape_defaults\":942,\"../scatter/marker_defaults\":946,\"../scatter/subtypes\":952,\"../scatter/text_defaults\":953,\"./attributes\":961}],964:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){var a=n[i];return t.a=a.a,t.b=a.b,t.y=a.y,t}},{}],965:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,i=n.ab2ij([t.a,t.b]),a=Math.floor(i[0]),o=i[0]-a,s=Math.floor(i[1]),l=i[1]-s,c=n.evalxy([],a,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],966:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\"),i=t(\"../../lib\").fillText;e.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,f=c-u;return s.x0=Math.max(Math.min(s.x0,f),u),s.x1=Math.max(Math.min(s.x1,f),u),o}var h=s.cd[s.index];s.a=h.a,s.b=h.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,m=p._module.formatLabels(h,p);s.yLabel=m.yLabel,delete s.text;var g=[];if(!p.hovertemplate){var v=(h.hi||p.hoverinfo).split(\"+\");-1!==v.indexOf(\"all\")&&(v=[\"a\",\"b\",\"text\"]),-1!==v.indexOf(\"a\")&&y(d.aaxis,h.a),-1!==v.indexOf(\"b\")&&y(d.baxis,h.b),g.push(\"y: \"+s.yLabel),-1!==v.indexOf(\"text\")&&i(h,p,g),s.extraText=g.join(\"<br>\")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,g.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},{\"../../lib\":503,\"../scatter/hover\":938}],967:[function(t,e,r){\"use 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n=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),a=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function f(r,i){return n.coerce(t,e,c,r,i)}var h,p=f(\"locations\");if(p&&p.length){var d,m=f(\"geojson\");(\"string\"==typeof m&&\"\"!==m||n.isPlainObject(m))&&(d=\"geojson-id\"),\"geojson-id\"===f(\"locationmode\",d)&&f(\"featureidkey\"),h=p.length}else{var 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M=p.font[r]={};M.size=(s.isTypedArray(f)?f[r]:Array.isArray(f)?n(f[r])?f[r]:0:f)*d,M.family=Array.isArray(h)?h[r]:h}else p.font={size:f*d,family:h};return p}function x(t){var e,r,n=t._length,i=t.marker,o={},l=s.isArrayOrTypedArray(i.symbol),c=s.isArrayOrTypedArray(i.color),f=s.isArrayOrTypedArray(i.line.color),d=s.isArrayOrTypedArray(i.opacity),m=s.isArrayOrTypedArray(i.size),g=s.isArrayOrTypedArray(i.line.width);if(l||(r=p.isOpenSymbol(i.symbol)),l||c||f||d){o.colors=new Array(n),o.borderColors=new Array(n);var v=u(i,i.opacity,n),y=u(i.line,i.opacity,n);if(!Array.isArray(y[0])){var x=y;for(y=Array(n),e=0;e<n;e++)y[e]=x}if(!Array.isArray(v[0])){var b=v;for(v=Array(n),e=0;e<n;e++)v[e]=b}for(o.colors=v,o.borderColors=y,e=0;e<n;e++){if(l){var _=i.symbol[e];r=p.isOpenSymbol(_)}r&&(y[e]=v[e].slice(),v[e]=v[e].slice(),v[e][3]=0)}o.opacity=t.opacity}else 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i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=y(t,i)}return n}function w(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var T=d.SYMBOL_SDF_SIZE,k=d.SYMBOL_SIZE,A=d.SYMBOL_STROKE,M={},S=l.symbolFuncs[0](.05*k);function E(t){if(\"circle\"===t)return null;var e,r,n=l.symbolNumber(t),a=l.symbolFuncs[n%100],o=!!l.symbolNoDot[n%100],s=!!l.symbolNoFill[n%100],c=p.isDotSymbol(t);return M[t]?M[t]:(e=c&&!o?a(1.1*k)+S:a(k),r=i(e,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:s?A:-A}),M[t]=r,r||null)}e.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return 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T=y-_,k=y+w;p[v+u[0]]=x-i.c2l(T),p[v+u[1]]=i.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),m=Math.max(m,y+w)}}}h[a]={positions:r,errors:p,_bnds:[d,m]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,m=g[p],v=g[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[m*y/h,x/h]}}return o}}},{\"../../components/drawing\":388,\"../../components/fx/helpers\":402,\"../../constants/interactions\":478,\"../../lib\":503,\"../../lib/gl_format_color\":499,\"../../plots/cartesian/axis_ids\":558,\"../../registry\":638,\"../scatter/make_bubble_size_func\":944,\"../scatter/subtypes\":952,\"./constants\":982,\"./helpers\":987,\"color-normalize\":89,\"fast-isnumeric\":190,\"svg-path-sdf\":310}],984:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/period_defaults\"),f=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),p=t(\"../scatter/fillcolor_defaults\"),d=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,m){function g(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,m,g);if(x){u(t,e,m,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,m,g),g(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,m,g),g(\"marker.line.width\",v||y?1:0)),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,m,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{\"../../lib\":503,\"../../registry\":638,\"../scatter/constants\":931,\"../scatter/fillcolor_defaults\":935,\"../scatter/line_defaults\":940,\"../scatter/marker_defaults\":946,\"../scatter/period_defaults\":947,\"../scatter/subtypes\":952,\"../scatter/text_defaults\":953,\"../scatter/xy_defaults\":954,\"./attributes\":979,\"./helpers\":987}],985:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\"),a=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,f=c.selectBatch[u],h=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},m=c.textUnselectedOptions[u]||{},g=n.extendFlat({},p);if(f.length||h.length){var v=d.color,y=m.color,x=p.color,b=Array.isArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(g)}}},{\"../../components/color\":366,\"../../constants/interactions\":478,\"../../lib\":503}],986:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},{\"../scatter/format_labels\":936}],987:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":982}],988:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var m=d&&d.line;m&&(h.mlc=Array.isArray(m.color)?m.color[f]:m.color,h.mlw=i.isArrayOrTypedArray(m.width)?m.width[f]:m.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var v=s.c2p(h.x,!0),y=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:A?A[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d,m=t.cd,g=m[0].t,v=m[0].trace,y=t.xa,x=t.ya,b=g.x,_=g.y,w=y.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=y.p2c(w-k),M=y.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!v.xperiodalignment,P=!!v.yperiodalignment;for(u=0;u<i.length;u++){if(l=b[a=i[u]],f=Math.abs(y.c2p(l)-w),C){var I=y.c2p(v._xStarts[a]),O=y.c2p(v._xEnds[a]);f=w>=Math.min(I,O)&&w<=Math.max(I,O)?0:1/0}if(f<L){if(L=f,c=_[a],h=x.c2p(c)-T,P){var z=x.c2p(v._yStarts[a]),D=x.c2p(v._yEnds[a]);h=T>=Math.min(z,D)&&T<=Math.max(z,D)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=b[a=i[u]],c=_[a],f=y.c2p(l)-w,h=x.c2p(c)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 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_=y.count,w=v._glcanvas.data()[0].regl;if(f(t,e,r),y.dirty){if(!0===y.error2d&&(y.error2d=a(w)),!0===y.line2d&&(y.line2d=i(w)),!0===y.scatter2d&&(y.scatter2d=n(w)),!0===y.fill2d&&(y.fill2d=i(w)),!0===y.glText)for(y.glText=new Array(_),m=0;m<_;m++)y.glText[m]=new o(w);if(y.glText){if(_>y.glText.length){var T=_-y.glText.length;for(m=0;m<T;m++)y.glText.push(new o(w))}else if(_<y.glText.length){var k=y.glText.length-_;y.glText.splice(_,k).forEach((function(t){t.destroy()}))}for(m=0;m<_;m++)y.glText[m].update(y.textOptions[m])}if(y.line2d&&(y.line2d.update(y.lineOptions),y.lineOptions=y.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),y.line2d.update(y.lineOptions)),y.error2d){var A=(y.errorXOptions||[]).concat(y.errorYOptions||[]);y.error2d.update(A)}y.scatter2d&&y.scatter2d.update(y.markerOptions),y.fillOrder=s.repeat(null,_),y.fill2d&&(y.fillOptions=y.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=y.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(y.fillOrder[e]=u);var f,h,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else 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R=y.selectBatch[I]=s.selIndices2selPoints(C),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<O;g++)F[g]||B.push(g);y.unselectBatch[I]=B}var N=P.xpx=new Array(O),j=P.ypx=new Array(O);for(g=0;g<O;g++)N[g]=x.c2p(z[g]),j[g]=b.c2p(D[g])}else P.xpx=P.ypx=null}if(S){if(y.select2d||(y.select2d=n(v._glcanvas.data()[1].regl)),y.scatter2d){var U=new Array(_);for(m=0;m<_;m++)U[m]=y.selectBatch[m].length||y.unselectBatch[m].length?y.markerUnselectedOptions[m]:{};y.scatter2d.update(U)}y.select2d&&(y.select2d.update(y.markerOptions),y.select2d.update(y.markerSelectedOptions)),y.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&h(t)}))}else y.scatter2d&&y.scatter2d.update(y.markerOptions);var V={viewport:d(v,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},H=s.repeat(V,y.count);y.fill2d&&y.fill2d.update(H),y.line2d&&y.line2d.update(H),y.error2d&&y.error2d.update(H.concat(H)),y.scatter2d&&y.scatter2d.update(H),y.select2d&&y.select2d.update(H),y.glText&&y.glText.forEach((function(t){t.update(V)}))}else y.init()}}).reglPrecompiled=p},{\"../../components/dragelement/helpers\":384,\"../../lib\":503,\"../../lib/prepare_regl\":516,\"../scatter/link_traces\":943,\"../scatter/subtypes\":952,\"./edit_style\":985,\"gl-text\":225,\"regl-error2d\":279,\"regl-line2d\":280,\"regl-scatter2d\":281}],991:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(u[f].length){var h=n.repeat([],r.count);h[f]=u[f],o.draw(h)}else c[f].length||o.draw(f);s[f]&&r.textOptions[f]&&s[f].render()}l&&l.draw(c),r.dirty=!1},r.destroy=function(){r.fill2d&&r.fill2d.destroy&&r.fill2d.destroy(),r.scatter2d&&r.scatter2d.destroy&&r.scatter2d.destroy(),r.error2d&&r.error2d.destroy&&r.error2d.destroy(),r.line2d&&r.line2d.destroy&&r.line2d.destroy(),r.select2d&&r.select2d.destroy&&r.select2d.destroy(),r.glText&&r.glText.forEach((function(t){t.destroy&&t.destroy()})),r.lineOptions=null,r.fillOptions=null,r.markerOptions=null,r.markerSelectedOptions=null,r.markerUnselectedOptions=null,r.errorXOptions=null,r.errorYOptions=null,r.textOptions=null,r.textSelectedOptions=null,r.textUnselectedOptions=null,r.selectBatch=null,r.unselectBatch=null,e._scene=null}),r.dirty||n.extendFlat(r,i),r}},{\"../../lib\":503}],992:[function(t,e,r){\"use strict\";var n=t(\"../scatter/subtypes\"),i=t(\"./edit_style\").styleTextSelection;e.exports=function(t,e){var r=t.cd,a=t.xaxis,o=t.yaxis,s=[],l=r[0].trace,c=r[0].t,u=l._length,f=c.x,h=c.y,p=c._scene,d=c.index;if(!p)return s;var m=n.hasText(l),g=n.hasMarkers(l),v=!g&&!m;if(!0!==l.visible||v)return s;var y=[],x=[];if(!1!==e&&!e.degenerate)for(var b=0;b<u;b++)e.contains([c.xpx[b],c.ypx[b]],!1,b,t)?(y.push(b),s.push({pointNumber:b,x:a.c2d(f[b]),y:o.c2d(h[b])})):x.push(b);if(g){var _=p.scatter2d;if(y.length||x.length){if(!p.selectBatch[d].length&&!p.unselectBatch[d].length){var w=new Array(p.count);w[d]=p.markerUnselectedOptions[d],_.update.apply(_,w)}}else{var T=new Array(p.count);T[d]=p.markerOptions[d],_.update.apply(_,T)}}return p.selectBatch[d]=y,p.unselectBatch[d]=x,m&&i(r),s}},{\"../scatter/subtypes\":952,\"./edit_style\":985}],993:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,f=t(\"../../plot_api/edit_types\").overrideAll,h=a.line,p=a.marker;e.exports=f({lon:a.lon,lat:a.lat,mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:h.color,width:h.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c(\"marker\")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plots/attributes\":550,\"../../plots/mapbox/layout_attributes\":615,\"../../plots/template_attributes\":633,\"../scatter/attributes\":927,\"../scattergeo/attributes\":969}],994:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../../constants/numerical\").BADNUM,o=t(\"../../lib/geojson_utils\"),s=t(\"../../components/colorscale\"),l=t(\"../../components/drawing\"),c=t(\"../scatter/make_bubble_size_func\"),u=t(\"../scatter/subtypes\"),f=t(\"../../plots/mapbox/convert_text_opts\"),h=t(\"../../components/fx/helpers\").appendArrayPointValue,p=t(\"../../lib/svg_text_utils\").NEWLINES,d=t(\"../../lib/svg_text_utils\").BR_TAG_ALL;function m(){return{geojson:o.makeBlank(),layout:{visibility:\"none\"},paint:{}}}function g(t,e){return i.isArrayOrTypedArray(t)?e?function(e){return n(t[e])?+t[e]:0}:function(e){return t[e]}:t?function(){return t}:v}function v(){return\"\"}function y(t){return t[0]===a}e.exports=function(t,e){var r,a=e[0].trace,x=!0===a.visible&&0!==a._length,b=\"none\"!==a.fill,_=u.hasLines(a),w=u.hasMarkers(a),T=u.hasText(a),k=w&&\"circle\"===a.marker.symbol,A=w&&\"circle\"!==a.marker.symbol,M=m(),S=m(),E=m(),L=m(),C={fill:M,line:S,circle:E,symbol:L};if(!x)return C;if((b||_)&&(r=o.calcTraceToLineCoords(e)),b&&(M.geojson=o.makePolygon(r),M.layout.visibility=\"visible\",i.extendFlat(M.paint,{\"fill-color\":a.fillcolor})),_&&(S.geojson=o.makeLine(r),S.layout.visibility=\"visible\",i.extendFlat(S.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),k){var P=function(t){var e,r,a,o,u=t[0].trace,f=u.marker,h=u.selectedpoints,p=i.isArrayOrTypedArray(f.color),d=i.isArrayOrTypedArray(f.size),m=i.isArrayOrTypedArray(f.opacity);function g(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(f):i.identity);d&&(a=c(u));m&&(o=function(t){return g(n(t)?+i.constrain(t,0,1):0)});var v,x=[];for(e=0;e<t.length;e++){var 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n=t(\"../scatterpolar/attributes\"),i=t(\"../scattergl/attributes\"),a=t(\"../../plots/template_attributes\").texttemplateAttrs;e.exports={mode:n.mode,r:n.r,theta:n.theta,r0:n.r0,dr:n.dr,theta0:n.theta0,dtheta:n.dtheta,thetaunit:n.thetaunit,text:n.text,texttemplate:a({editType:\"plot\"},{keys:[\"r\",\"theta\",\"text\"]}),hovertext:n.hovertext,hovertemplate:n.hovertemplate,line:i.line,connectgaps:i.connectgaps,marker:i.marker,fill:i.fill,fillcolor:i.fillcolor,textposition:i.textposition,textfont:i.textfont,hoverinfo:n.hoverinfo,selected:n.selected,unselected:n.unselected}},{\"../../plots/template_attributes\":633,\"../scattergl/attributes\":979,\"../scatterpolar/attributes\":1002}],1010:[function(t,e,r){\"use 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A={};u.label&&(A.label=u.label),u.hasOwnProperty(\"v\")&&(A.value=u.v,A.valueLabel=b.formatValue(u.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),u.hasOwnProperty(\"color\")&&(A.color=u.color);var M=s.castOption(r,u.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},{\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../bar/style\":662,\"../bar/uniform_text\":664,\"../pie/helpers\":906,\"../pie/plot\":910,\"./constants\":1052,\"./fx\":1054,\"./helpers\":1055,\"./style\":1060,\"@plotly/d3\":58,\"d3-hierarchy\":115,\"d3-interpolate\":116}],1060:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/color\"),a=t(\"../../lib\"),o=t(\"../bar/uniform_text\").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,\"marker.line.color\")||i.defaultLine,c=a.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",c).call(i.fill,n.color).call(i.stroke,l).style(\"opacity\",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style(\"opacity\",r.opacity),e.selectAll(\"path.surface\").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{\"../../components/color\":366,\"../../lib\":503,\"../bar/uniform_text\":664,\"@plotly/d3\":58}],1061:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;function u(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=e.exports=c(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:u(),y:u(),z:u()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),\"calc\",\"nested\");f.x.editType=f.y.editType=f.z.editType=\"calc+clearAxisTypes\",f.transforms=void 0},{\"../../components/color\":366,\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plots/attributes\":550,\"../../plots/cartesian/axis_format_attributes\":557,\"../../plots/template_attributes\":633}],1062:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],1063:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_surface3d,i=t(\"../../../stackgl_modules\").ndarray,a=t(\"../../../stackgl_modules\").ndarray_linear_interpolate.d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),f=t(\"../../components/colorscale\").extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function m(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(m(t,n))}return e}function v(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(i,[l,c],n),t.set(l,c,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(u,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,u,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=c(t),m=l.dataScale,g=t.z[0].length,v=t._ylength,y=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<g;r++)x[e][r]=[];for(r=0;r<g;r++)for(n=0;n<v;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<g;r++)for(t._interpolatedZ[r]=[],n=0;n<v;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=m[e];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(g*v),[g,v]),i(new Float32Array(g*v),[g,v]),i(new Float32Array(g*v),[g,v])];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)b[e].set(r,n,x[e][r][n]);x=[];var w={colormap:d,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},T=f(t);if(w.intensityBounds=[T.min,T.max],t.surfacecolor){var k=i(new Float32Array(g*v),[g,v]);for(r=0;r<g;r++)for(n=0;n<v;n++)k.set(r,n,t.surfacecolor[n][r]);b.push(k)}else w.intensityBounds[0]*=m[2],w.intensityBounds[1]*=m[2];(_<b[0].shape[0]||_<b[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(b[0].shape[0],0),this.dataScaleY=this.estimateScale(b[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(b)),t.surfacecolor&&(w.intensity=b.pop());var A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=y[e],p.highlightColor[e]=w.contourColor[e]=u(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=u(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z])},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{\"../../../stackgl_modules\":1124,\"../../components/colorscale\":378,\"../../lib\":503,\"../../lib/gl_format_color\":499,\"../../lib/str2rgbarray\":528,\"../heatmap/find_empties\":798,\"../heatmap/interp2d\":801}],1064:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");function s(t,e,r,n){var 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this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],f=8191&u,h=u>>>13,p=0|o[1],d=8191&p,m=p>>>13,g=0|o[2],v=8191&g,y=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,mt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(m,U)|0,a=Math.imul(m,V);var vt=(c+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,q)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,q)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,X)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,X)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var At=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,mt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,mt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,mt)|0)+Math.imul(m,dt)|0))<<13)|0;c=((a=a+Math.imul(m,mt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,mt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,mt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,mt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,mt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,mt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,mt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,mt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,mt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,mt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,mt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,mt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,mt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,mt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,mt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,mt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,mt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=gt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function m(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?d(this,t,e):r<63?p(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):m(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var f=l,h=c,p=0;p<o;p++){var d=r[u+p],m=n[u+p],g=r[u+p+o],v=n[u+p+o],y=f*g-h*v;v=f*v+h*g,g=y,r[u+p]=d+g,n[u+p]=m+v,r[u+p+o]=d-g,n[u+p+o]=m-v,p!==s&&(y=l*f-c*h,h=l*h+c*f,f=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,f,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),m(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,m=1;0==(r.words[0]&m)&&d<26;++d,m<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return 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numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var v={k256:null,p224:null,p192:null,p25519:null};function y(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){y.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){y.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){y.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){y.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}y.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},y.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},y.prototype.split=function(t,e){t.iushrn(this.n,0,e)},y.prototype.imulK=function(t){return t.imul(this.k)},i(x,y),x.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,y),i(_,y),i(w,y),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return v[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var f=this.pow(u,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var m=p,g=0;0!==m.cmp(s);g++)m=m.redSqr();n(g<d);var v=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(v),f=v.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var f=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)>=0?o=i.isub(this.m):i.cmpn(0)<0&&(o=i.iadd(this.m)),o._forceRed(this)},k.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(void 0===e||e,this)},{buffer:2}],34:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,i=t.length,a=0;for(e=0;e<i;++e)a+=t[e].length;var o=new Array(a),s=0;for(e=0;e<i;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),f=0;for(n=0;n<c;++n)n!==r&&(u[f++]=l[n]);if(1&r){var h=u[1];u[1]=u[0],u[0]=h}}}return o}},{}],35:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return f(t);case 2:return\"function\"==typeof e?c(t,t,e,!0):h(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}};var n,i=t(\"typedarray-pool\"),a=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function s(t,e){for(var r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var i=0,a=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[i++]=c[u];n[a++]=o}}return a}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var f,h=i.mallocDouble(2*u*s),p=i.mallocInt32(s);if((s=l(t,u,h,p))>0){if(1===u&&n)a.init(s),f=a.sweepComplete(u,r,0,s,h,p,0,s,h,p);else{var d=i.mallocDouble(2*u*c),m=i.mallocInt32(c);(c=l(e,u,d,m))>0&&(a.init(s+c),f=1===u?a.sweepBipartite(u,r,0,s,h,p,0,c,d,m):o(u,r,n,s,h,p,c,d,m),i.free(d),i.free(m))}i.free(h),i.free(p)}return f}}}function u(t,e){n.push([t,e])}function f(t){return n=[],c(t,t,u,!0),n}function h(t,e){return n=[],c(t,e,u,!1),n}},{\"./lib/intersect\":37,\"./lib/sweep\":41,\"typedarray-pool\":308}],36:[function(t,e,r){\"use strict\";function n(t){return t?function(t,e,r,n,i,a,o,s,l,c,u){return i-n>l-s?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var d=a[e+p],m=a[e+p+t],g=o[h];t:for(var v=s,y=f*s;v<l;++v,y+=f){var x=c[e+y],b=c[e+y+t],_=u[v];if(!(b<d||m<x)){for(var w=e+1;w<t;++w){var T=a[w+p],k=a[w+t+p],A=c[w+y],M=c[w+t+y];if(k<A||M<T)continue t}var S=r(g,_);if(void 0!==S)return S}}}}(t,e,r,n,i,a,o,s,l,c,u):function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=s,p=f*s;h<l;++h,p+=f){var d=c[e+p],m=c[e+p+t],g=u[h];t:for(var v=n,y=f*n;v<i;++v,y+=f){var x=a[e+y],b=a[e+y+t],_=o[v];if(!(m<x||b<d)){for(var w=e+1;w<t;++w){var T=a[w+y],k=a[w+t+y],A=c[w+p],M=c[w+t+p];if(k<A||M<T)continue t}var S=r(_,g);if(void 0!==S)return S}}}}(t,e,r,n,i,a,o,s,l,c,u)}:function(t,e,r,n,i,a,o,s,l,c,u,f){return a-i>c-l?n?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var d=a[e+p],m=a[e+p+t],g=o[h];t:for(var v=s,y=f*s;v<l;++v,y+=f){var x=c[e+y],b=u[v];if(!(x<=d||m<x)){for(var _=e+1;_<t;++_){var w=a[_+p],T=a[_+t+p],k=c[_+y],A=c[_+t+y];if(T<k||A<w)continue t}var M=r(b,g);if(void 0!==M)return 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e=i.nextPow2(t);o.length<e&&(n.free(o),o=n.mallocInt32(e));s.length<e&&(n.free(s),s=n.mallocInt32(e));l.length<e&&(n.free(l),l=n.mallocInt32(e));c.length<e&&(n.free(c),c=n.mallocInt32(e));u.length<e&&(n.free(u),u=n.mallocInt32(e));f.length<e&&(n.free(f),f=n.mallocInt32(e));var r=8*e;h.length<r&&(n.free(h),h=n.mallocDouble(r))},sweepBipartite:function(t,e,r,n,i,u,f,m,g,v){for(var y=0,x=2*t,b=t-1,_=x-1,w=r;w<n;++w){var T=u[w],k=x*w;h[y++]=i[k+b],h[y++]=-(T+1),h[y++]=i[k+_],h[y++]=T}for(w=f;w<m;++w){T=v[w]+(1<<28);var A=x*w;h[y++]=g[A+b],h[y++]=-T,h[y++]=g[A+_],h[y++]=T}var M=y>>>1;a(h,M);var S=0,E=0;for(w=0;w<M;++w){var L=0|h[2*w+1];if(L>=1<<28)p(l,c,E--,L=L-(1<<28)|0);else if(L>=0)p(o,s,S--,L);else if(L<=-(1<<28)){L=-L-(1<<28)|0;for(var C=0;C<S;++C){if(void 0!==(P=e(o[C],L)))return P}d(l,c,E++,L)}else{L=-L-1|0;for(C=0;C<E;++C){var P;if(void 0!==(P=e(L,l[C])))return P}d(o,s,S++,L)}}},sweepComplete:function(t,e,r,n,i,m,g,v,y,x){for(var b=0,_=2*t,w=t-1,T=_-1,k=r;k<n;++k){var 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e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new h(this,n);r=i<=0?r.left:r.right}return new h(this,[])},l.remove=function(t){var e=this.find(t);return e?e.remove():this},l.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var p=h.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function m(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(p,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(p,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),p.clone=function(){return new h(this.tree,this._stack.slice())},p.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new n(r._color,r.key,r.value,r.left,r.right,r._count);for(var l=t.length-2;l>=0;--l){(r=t[l]).left===t[l+1]?e[l]=new n(r._color,r.key,r.value,e[l+1],r.right,r._count):e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count)}if((r=e[e.length-1]).left&&r.right){var c=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var u=e[c-1];e.push(new n(r._color,u.key,u.value,r.left,r.right,r._count)),e[c-1].key=r.key,e[c-1].value=r.value;for(l=e.length-2;l>=c;--l)r=e[l],e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count);e[c-1].left=e[c]}if(0===(r=e[e.length-1])._color){var f=e[e.length-2];f.left===r?f.left=null:f.right===r&&(f.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var h=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=i(n)).right=i(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=i(n)).left=i(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=a(0,n));r.right=a(0,n);continue}n=i(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=i(n)).left=i(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=i(n)).right=i(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=a(0,n));r.left=a(0,n);continue}var c;n=i(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),h.left===r?h.left=null:h.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error(\"Can't update empty node!\");var r=new Array(e.length),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],70:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t(\"./lib/text.js\"),i=t(\"./lib/lines.js\"),a=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=u.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var m=l(\"labels\");l(\"labelFont\")&&(m=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(m||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<<u&&(f=s,h=a,p=l,d=o),f[u]=r[0][u],h[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var m=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E=m;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=h[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var L=[0,0,0];h[A]>0?L[A]=a[1][A]:L[A]=a[0][A];for(var C=0;C<2;++C){var P=(A+1+C)%3,I=(A+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(A+1+C)%3,I=(A+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var O=c(v,M[A].primalMinor),z=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,O,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,F=1,\"auto\"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(A,U,V);for(C=0;C<3;++C)H[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),\"auto\"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)H[C]+=k*U[C]*this.labelPad[C]/r[5*C];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":71,\"./lib/cube.js\":72,\"./lib/lines.js\":73,\"./lib/text.js\":75,\"./lib/ticks.js\":76}],71:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var m=-1;m<=1;m+=2)f[u]=m,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=c;c=u,u=g}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],72:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);o(c[O],c[P],c[I],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);var O,z=d([l[O],l[P],l[I],l[O+(1<<M)+(1<<S)]]);C?E=z:L=z}L>E&&(w|=1<<A)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=m;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return v};var n=t(\"bit-twiddle\"),i=t(\"gl-mat4/multiply\"),a=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var m=[1,1,1],g=[0,0,0],v={cubeEdges:m,axis:g}},{\"bit-twiddle\":32,\"gl-mat4/multiply\":100,\"robust-orientation\":284,\"split-polygon\":300}],73:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var m=+r[f][d].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){m=+r[f][v].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}g=o.length/3|0;c[f]=h,u[f]=g-h}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=h(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=f(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=h(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var m=f(l);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],74:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":132,glslify:231}],75:[function(t,e,r){(function(r){(function(){\"use strict\";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,m=p.length;d<m;++d)for(var g=p[d],v=2;v>=0;--v){var y=h[g[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var m=0;m<n[d].length;++m)n[d][m].text&&s(n[d][m].x,n[d][m].text,n[d][m].font||i,n[d][m].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=f,this.labelCount=h},u.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this)}).call(this,t(\"_process\"))},{\"./shaders\":74,_process:5,\"gl-buffer\":78,\"gl-vao\":150,\"vectorize-text\":311}],76:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var f=\"\"+c;f.length<i;)f=\"0\"+f;return u+\".\"+f}return u}r.create=function(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},{}],77:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,f){var h=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,v,x,y)).axis;o(u,p,h),o(u,v,u);for(var _=m,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=y?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var I=d(g,u,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(I[C])))}}}}return _};var n=t(\"extract-frustum-planes\"),i=t(\"split-polygon\"),a=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}var m=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},{\"./lib/cube.js\":72,\"extract-frustum-planes\":67,\"gl-mat4/multiply\":100,\"gl-mat4/transpose\":109,\"gl-vec4/transformMat4\":221,\"split-polygon\":300}],78:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),i=t(\"ndarray-ops\"),a=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:259,\"ndarray-ops\":254,\"typedarray-pool\":308}],79:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,m=[],g=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),v=!1):v=!0}v||(p=x,d=b),m.push(b)}var w=[s,c,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A;y=0;for(var M=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=m[y],P=n.length(C)*k,I=0;I<8;I++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:\"cone\"})}},{\"./create_mesh\":80,\"./lib/shaders\":81,\"gl-vec3\":169}],80:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function m(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,m=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],m=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var v=p[g];d=Math.min(d,v),m=Math.max(m,v)}else for(g=0;g<n.length;++g){v=n[g][2];d=Math.min(d,v),m=Math.max(m,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(g=0;g<n.length;++g)for(var y=n[g],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];a.push(y[0],y[1],y[2],y[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(m-d),0]:[(y[2]-d)/(m-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/h}if(this.triangleCount>0){var m=this.triShader;m.bind(),m.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=m(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,g,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],81:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:231}],82:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORM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t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var m=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return m._shape[0]},set:function(t){return m.width=t}},1:{get:function(){return m._shape[1]},set:function(t){return m.height=t}}}),this._shapeVector=g,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,m=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):m&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),f(x)}u(r,e)}(this)}var m=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),f(s)),u(n,a)}}Object.defineProperties(m,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),m.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},m.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":146}],87:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,i=t(\"gl-constants/lookup\"),a=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var m=parseInt(d.split(\":\")[2]);if(isNaN(m))throw new Error(n(\"Could not parse error: %s\",d));h[m]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=g[p];if(c+=v+\"\\n\",h[p+1]){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":9,\"gl-constants/lookup\":83,\"glsl-shader-name\":223,\"sprintf-js\":301}],88:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),i=t(\"iota-array\"),a=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],m=t.colorValues||[0,0,0,1],g=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,I;l?(P=x*(o[C]-u),I=x*(o[C+1]-u)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-u):x*(o[C]-(o[C]-o[C-1])/2-u),I=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-u):x*(o[C]+(o[C]-o[C-1])/2-u));for(var O=0;O<E;++O){var z,D;l?(z=y*(r[O]-c),D=y*(r[O+1]-c)):(z=O<b-1?y*(r[O]-(r[O+1]-r[O])/2-c):y*(r[O]-(r[O]-r[O-1])/2-c),D=O<b-1?y*(r[O]+(r[O+1]-r[O])/2-c):y*(r[O]+(r[O]-r[O-1])/2-c));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(O+U):C*b+O],q=n.le(d,H);if(q<0)F=m[0],B=m[1],N=m[2],j=m[3];else if(q===g-1)F=m[4*g-4],B=m[4*g-3],N=m[4*g-2],j=m[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Y=1-G,W=4*q,X=4*(q+1);F=Y*m[W]+G*m[X],B=Y*m[W+1]+G*m[X+1],N=Y*m[W+2]+G*m[X+2],j=Y*m[W+3]+G*m[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*z+.5*D,k[2*S+1]=.5*P+.5*I,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+O,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":89,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"iota-array\":235,\"typedarray-pool\":308}],89:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:231}],90:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{\"gl-shader\":132,glslify:231}],91:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var m=new v(e,r,o,s,l,d);return m.update(t),m};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function m(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:m(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:m(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],m=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var v,y,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(m)?m.length>e-1?m[e-1]:m.length>0?m[m.length-1]:[0,0,0,1]:m;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-a,u=[0,0,0],f=0;f<3;++f)u[f]=c*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,u,h,this.points[h])}},{\"./lib/shaders\":90,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],92:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],93:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return 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t[0]=1-(p+m),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],97:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],98:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*m-f*d,A=u*g-h*d,M=u*v-p*d,S=f*g-h*m,E=f*v-p*m,L=h*v-p*g,C=y*L-x*E+b*S+_*M-w*A+T*k;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*T-g*w+v*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-c*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*M+c*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-m*b+v*y)*C,t[11]=(f*b-u*w-p*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*x-d*_-g*y)*C,t[15]=(u*_-f*x+h*y)*C,t}},{}],99:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,m=e[0],g=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(m-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=m-_,h=g-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{\"./identity\":97}],100:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],101:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],102:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],103:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],m=e[8],g=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+m*S,t[9]=l*A+h*M+g*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],104:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],105:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],106:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],107:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],108:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],109:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],110:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),i=t(\"polytope-closest-point/lib/closest_point_2d.js\");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,m=0;m<2;++m)d+=Math.pow(u[f][m]-e[m],2);d<p&&(p=d,h=f)}var g=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;v+=g[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,g),g]}},{barycentric:14,\"polytope-closest-point/lib/closest_point_2d.js\":270}],111:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:231}],112:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),f=t(\"colormap\"),h=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),m=t(\"./lib/closest-point\"),g=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=v,this.edgeIds=m,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var d=n[f][0],m=n[f][1],g=i[f],v=1-g,y=this.positions[d],x=this.positions[m],b=0;b<3;++b)o[s++]=g*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],h=[],p=[],d=[],m=[],g=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,O=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!I)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(O)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<O.length;++R){F=O[R];z=Math.min(z,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];z=Math.min(z,F),D=Math.max(D,F)}this.intensity=P||(O||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(O||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],m.push(Z[0],Z[1]),g.push(R)}H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,X,Z,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],c.push(Z[0],Z[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var f,h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],f=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=m(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=M(t),s=S(t),l=E(t),c=L(t),f=C(t),h=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),m=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),A=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=i(t),O=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:O,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,f,h,d,y,m,g,v,x,b,k,_,w,A,I,R,O,z,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":110,\"./lib/shaders\":111,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,normals:261,\"simplicial-complex-contour\":291,\"typedarray-pool\":308}],113:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],114:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,m=0;m<2;++m){var g=a[m],v=a[m+2]-g,y=.5*(o[m+2]+o[m]),x=o[m+2]-o[m];u[m]=2*v/x,c[m]=2*(g-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(m=0;m<2;++m){f[0]=f[1]=0,f[m]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[m]/(s[m+2]-s[m])*d,r.uniforms.color=h[m];var _=6*n[m].length;p[m]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,m=s.viewBox,g=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=m[2]-m[0],_=m[3]-m[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,I=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),O=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*I,D=6*Math.max(0,O-I),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(m[0]-E[1])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[1]*g/y,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[1]-E[0])/x-1,o[0]=L[0]*g/y,o[1]=E[0]*g/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(m[2]+E[3])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[3]*g/y,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[3]+E[2])/x-1,o[0]=L[2]*g/y,o[1]=E[2]*g/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-c)/(u-c);s.push(d);for(var m=0;m<6;++m)n[i++]=d,n[i++]=h[m],n[i++]=p[m]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132}],115:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],116:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:231}],117:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,h,p,d,m=l.prototype;m.drawTicks=(c=[0,0],u=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,m=e.tickPad,g=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*m[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*m[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),m.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),m.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],m=a[o+2]-f,g=i[o],v=i[o+2]-g;p[o]=2*l/u*m/v,h[o]=2*(s-c)/u*m/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),m.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,m=p.text,g=p.font||\"sans-serif\";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=m.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=u,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},m.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"text-cache\":303}],118:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),i=t(\"./lib/grid\"),a=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var m=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(m,e[1],m,e[3],p[d],h[d]):o.drawLine(e[0],m,e[2],m,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),g[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),g[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),g[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":113,\"./lib/grid\":114,\"./lib/line\":115,\"./lib/text\":117,\"gl-select-static\":131}],119:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,h=!!a.control,p=!!a.alt,m=!!a.shift,g=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!m||g&&!h&&!p&&m)&&c.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!m||v||g&&h&&!p&&!m)&&c.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&g&&!h&&!p&&!m||y||g&&!h&&p&&!m)){var M=-d.zoomSpeed*_/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),i=t(\"3d-view\"),a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":7,\"has-passive-events\":232,\"mouse-change\":247,\"mouse-event-offset\":248,\"mouse-wheel\":250,\"right-now\":278}],120:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":132,glslify:231}],121:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),i=t(\"gl-axes3d\"),a=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),f=t(\"gl-mat4/perspective\"),h=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function m(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new m,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:A,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,O=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,F);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function H(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=A,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",H),N.mouseListener.enabled=!1,!N.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(O=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(L[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",H);var q=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[q[0].slice(),q[1].slice()];function Y(){if(!H()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,O=O||t,A.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=q[0],i=q[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=N.pixelRatio,C.axes=N.axes,I=I||!!C.dirty,O=O||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var m=.05*(i[p]-n[p]);n[p]=n[p]-m,i[p]=i[p]+m}d[0][p]=n[p],d[1][p]=i[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(O=O||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:y}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,c),n._ortho=!0):(f(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var m=0;for(d=0;d<3;++d)m=Math.max(m,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/m,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(C=E[o]).axesBounds=d,N.clipToBounds&&(C.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),O&&(O=!1,function(){if(!H()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;A.enable&&(M=M||A.isTransparent(),A.draw(R)),S.axes=A,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(C=E[o]).axes=A,C.pixelRatio=N.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(R),C.isTransparent&&C.isTransparent()&&(M=!0)}if(M){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\"./camera.js\":119,\"./lib/shader\":120,\"a-big-triangle\":8,\"gl-axes3d\":70,\"gl-axes3d/properties\":77,\"gl-fbo\":86,\"gl-mat4/ortho\":101,\"gl-mat4/perspective\":102,\"gl-select-static\":131,\"gl-spikes3d\":141,\"is-mobile\":238,\"mouse-change\":247}],122:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:231}],123:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":122,\"gl-buffer\":78,\"gl-shader\":132,\"typedarray-pool\":308}],124:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],m=r[2],g=r[3];(a=c*p+u*d+f*m+h*g)<0&&(a=-a,p=-p,d=-d,m=-m,g=-g);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*m,t[3]=s*h+l*g,t}},{}],125:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],126:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{\"vectorize-text\":311}],127:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,m)},r.createPickProject=function(t){return v(t,g)}},{\"gl-shader\":132,glslify:231}],128:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function m(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,c,u,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),m=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new g(e,r,n,o,f,h,p,d,m,s,c,u);return v.update(t),v};var v=g.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,m=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=m,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*g]=0,i[g]<0?v[12+g]=d[0][g]:v[12+g]=d[1][g],s(v,c,v),l.model=v;var C=(g+1)%3,P=(g+2)%3,I=M(x),O=M(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,l.fragClipBounds[0]=E(k,m[0],g,-1e8),l.fragClipBounds[1]=E(k,m[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a=\"\\u25bc\",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=m(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=m(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var H=0;Array.isArray(g)?H=n<g.length?+g[n]:0:g&&(H=+g);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var X=[Y*=Y>0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],Z=k.cells||[],J=k.positions||[];for(T=0;T<Z.length;++T)for(var K=Z[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)L[4*O+$]=D[$];P[O]=y;var tt=J[K[Q]];C[2*O]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*O+1]=V*(G*tt[0]+q*tt[1]+X[1]),O+=1}for(Z=A.edges,J=A.positions,T=0;T<Z.length;++T)for(K=Z[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=R[$];P[z]=y;tt=J[K[Q]];C[2*z]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*z+1]=V*(G*tt[0]+q*tt[1]+X[1]),z+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":125,\"./lib/glyphs\":126,\"./lib/shaders\":127,\"gl-buffer\":78,\"gl-mat4/multiply\":100,\"gl-vao\":150,\"is-string-blank\":239,\"typedarray-pool\":308}],129:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:231}],130:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var m=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,m,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,m,g,i),o.drawBox(p,h,m,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":129,\"gl-buffer\":78,\"gl-shader\":132}],131:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),i=t(\"typedarray-pool\"),a=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;a<r*e*4;++a)n[a]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||c<=l)return null;var u=[o-i,c-l],f=a(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),f=t.get(l,c,1),h=t.get(l,c,2),p=t.get(l,c,3);if(u<255||f<255||h<255||p<255){var d=e-l,m=r-c,g=d*d+m*m;g<n&&(n=g,i=l,a=c)}}return[i,a,n]}(f.hi(u[0],u[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":32,\"gl-fbo\":86,ndarray:259,\"typedarray-pool\":308}],132:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),i=t(\"./lib/create-attributes\"),a=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function f(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var 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w=c[y];if(w.type.indexOf(\"mat\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A<T;++A)k[A]=_.length,b.push(w.name+\"[\"+A+\"]\"),\"number\"==typeof w.location?_.push(w.location+A):Array.isArray(w.location)&&w.location.length===T&&\"number\"==typeof w.location[A]?_.push(0|w.location[A]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),\"number\"==typeof w.location?_.push(0|w.location):_.push(-1)}var M=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(M)>=0;)M+=1;_[y]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(h.program,r[t].name)}E(),h._relink=E,h.types={uniforms:a(r),attributes:a(c)},h.attributes=i(p,h,x,_),Object.defineProperty(h,\"uniforms\",n(p,h,r,S))},e.exports=function(t,e,r,n,i){var a=new c(t);return 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h=c,p=u,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":140,\"gl-buffer\":78,\"gl-vao\":150}],142:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:231}],143:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),i=t(\"gl-vec4\"),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],m=0,g=0,v=i.create(),y=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,v=i.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(m,g,g,g,m,m);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=y;y=v,v=S;var E=m;m=g,g=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<u.length;s++){var m=u[s],g=f.length;f=f.concat(m.positions),p=p.concat(m.vectors),d=d.concat(m.vertexIntensity);for(c=0;c<m.cells.length;c++){var v=m.cells[c],y=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,o=t[0],c=t[1],u=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=s(a[0],o),m=s(a[1],c),g=s(a[2],u),v=d+1,y=m+1,x=g+1;if(d=l(d,0,f-1),v=l(v,0,f-1),m=l(m,0,h-1),y=l(y,0,h-1),g=l(g,0,p-1),x=l(x,0,p-1),d<0||m<0||g<0||v>f-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][v],E=a[1][m],L=a[1][y],C=a[2][g],P=(o-M)/(S-M),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(m=h-1-m,y=h-1-y),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=m*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=g,A=x,b=d*p,_=v*p,w=m*p*f,T=y*p*f;break;case 3:w=m,T=y,k=g*h,A=x*h,b=d*h*p,_=v*h*p;break;case 2:w=m,T=y,b=d*h,_=v*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=v,k=g*f,A=x*f,w=m*f*p,T=y*f*p;break;default:b=d,_=v,w=m*f,T=y*f,k=g*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(H,D,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,I),n.lerp(W,H,G,I);var X=n.create();return n.lerp(X,Y,W,O),X}(e,t,p)},m=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;l<s;l++){var u=t[l],f=u[0],h=u[1],p=u[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),m=c(r),g=c(n),v=Math.min(d,m,g);return isFinite(v)?v:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],I=[],O=d(C),z=C;I.push(O);var D=[],R=m(C,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.length<i&&T(C);){B++;var N=n.clone(O),j=n.squaredLength(N);if(0===j)break;if(j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-A>-1e-4*A){P.push(N),z=N,I.push(O);R=m(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var u=t(\"./lib/shaders\"),f=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":142,\"gl-cone3d\":79,\"gl-vec3\":169,\"gl-vec4\":205}],144:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":132,glslify:231}],145:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),m=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);m.minFilter=e.LINEAR,m.magFilter=e.LINEAR;var g=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,m,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",g.update(v),g};var n=t(\"bit-twiddle\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),f=t(\"ndarray\"),h=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),m=t(\"binary-search-bounds\"),g=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function M(t,e,r,n,i,a,o,l,c,u,h,p,d,m,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=m,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),O=[1,0,0,0,1,0,0,0,1];function z(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=C(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=u.projections[i],f.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var m=0;m<this.contourLevels[o].length;++m)m===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==m&&m-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][m]&&(f.uniforms.height=this.contourLevels[o][m],h.draw(r.LINES,this._contourCounts[o][m],this._contourOffsets[o][m]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=u.projections[o],f.uniforms.clipBounds=u.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return z.call(this,t,!1)},S.drawTransparent=function(t){return z.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=O;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,g=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*g;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=m.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var m=[0,0];m[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],m,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,x=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),y[o],\"mirror\");var b=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),A=x.get(1,o,v,1),M=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-A*M,L=M*w-S*_,C=_*A-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,v,0,E*P),b.set(o,v,1,L*P),b.set(o,v,2,C*P)}s.free(x.data);var I=[1/0,1/0,1/0],O=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+v+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Y=o+T[q][0],W=v+T[q][1],X=this._field[0].get(Y+1,W+1),Z=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=Z,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,I[0]=Math.min(I[0],X+this.objectOffset[0]),I[1]=Math.min(I[1],Z+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),z=Math.min(z,J),O[0]=Math.max(O[0],X+this.objectOffset[0]),O[1]=Math.max(O[1],Z+this.objectOffset[1]),O[2]=Math.max(O[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,O],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var mt=($+dt+1)%3;for(V=0;V<2;++V){var gt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var vt=H?ht:1-ht;if(W=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[mt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=gt*vt;nt[dt]+=yt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(u,r[o]),m=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<m.length;++e)for(var v=m[e],y=0;y<2;++y){var x=g[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,I=T*L,O=T*E,z=C*f.get(_,M)+P*f.get(_,S)+I*f.get(w,M)+O*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+I*p.get(w,M)+O*p.get(w,S);if(isNaN(z)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=z,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{\"./lib/shaders\":144,\"binary-search-bounds\":31,\"bit-twiddle\":32,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,\"ndarray-gradient\":252,\"ndarray-ops\":254,\"ndarray-pack\":255,\"surface-nets\":302,\"typedarray-pool\":308}],146:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),i=t(\"ndarray-ops\"),a=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function m(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function g(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function y(t,e,r,n,i,a){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new p(t,o,r,n,i,a)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=m(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var u,h,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];h=a.malloc(v,r);var x=n(h,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):f(x,e),u=h.subarray(0,v)}var b=g(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||a.free(h),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var 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       "/*!\n",
       " * Determine if an object is a Buffer\n",
       " *\n",
       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
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i=this.computedMatrix,a=i[0],o=i[4],s=i[8],u=i[1],f=i[5],h=i[9],p=i[2],d=i[6],m=i[10],g=e*a+r*u,v=e*o+r*f,y=e*s+r*h,x=-(d*y-m*v),b=-(m*g-p*y),_=-(p*v-d*g),w=Math.sqrt(Math.max(0,1-Math.pow(x,2)-Math.pow(b,2)-Math.pow(_,2))),T=c(x,b,_,w);T>1e-6?(x/=T,b/=T,_/=T,w/=T):(x=b=_=0,w=1);var k=this.computedRotation,A=k[0],M=k[1],S=k[2],E=k[3],L=A*w+E*x+M*_-S*b,C=M*w+E*b+S*x-A*_,P=S*w+E*_+A*b-M*x,I=E*w-A*x-M*b-S*_;if(n){x=p,b=d,_=m;var O=Math.sin(n)/l(x,b,_);x*=O,b*=O,_*=O,I=I*(w=Math.cos(e))-(L=L*w+I*x+C*_-P*b)*x-(C=C*w+I*b+P*x-L*_)*b-(P=P*w+I*_+L*b-C*x)*_}var z=c(L,C,P,I);z>1e-6?(L/=z,C/=z,P/=z,I/=z):(L=C=P=0,I=1),this.rotation.set(t,L,C,P,I)},h.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var a=this.computedMatrix;i(a,e,r,n);var o=this.computedRotation;s(o,a[0],a[1],a[2],a[4],a[5],a[6],a[8],a[9],a[10]),u(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2])},h.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},h.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var i=n[15];if(Math.abs(i)>1e-6){var a=n[12]/i,l=n[13]/i,c=n[14]/i;this.recalcMatrix(t);var f=Math.exp(this.computedRadius[0]);this.center.set(t,a-n[2]*f,l-n[6]*f,c-n[10]*f),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},h.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},h.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},h.getDistanceLimits=function(t){var e=this.radius.bounds;return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},h.toJSON=function(){return this.recalcMatrix(this.lastT()),{center:this.computedCenter.slice(),rotation:this.computedRotation.slice(),distance:Math.log(this.computedRadius[0]),zoomMin:this.radius.bounds[0][0],zoomMax:this.radius.bounds[1][0]}},h.fromJSON=function(t){var e=this.lastT(),r=t.center;r&&this.center.set(e,r[0],r[1],r[2]);var n=t.rotation;n&&this.rotation.set(e,n[0],n[1],n[2],n[3]);var i=t.distance;i&&i>0&&this.radius.set(e,Math.log(i)),this.setDistanceLimits(t.zoomMin,t.zoomMax)}},{\"./lib/quatFromFrame\":262,\"filtered-vector\":68,\"gl-mat4/fromQuat\":95,\"gl-mat4/invert\":98,\"gl-mat4/lookAt\":99}],264:[function(t,e,r){\n",
       "/*!\n",
       " * pad-left <https://github.com/jonschlinkert/pad-left>\n",
       " *\n",
       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
       " * Licensed under the MIT license.\n",
       " */\n",
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e=this.computedUp,r=this.computedRight,n=0,i=0,a=0;a<3;++a)i+=e[a]*r[a],n+=e[a]*e[a];var l=Math.sqrt(n),u=0;for(a=0;a<3;++a)r[a]-=e[a]*i/n,u+=r[a]*r[a],e[a]/=l;var f=Math.sqrt(u);for(a=0;a<3;++a)r[a]/=f;var h=this.computedToward;o(h,e,r),s(h,h);var p=Math.exp(this.computedRadius[0]),d=this.computedAngle[0],m=this.computedAngle[1],g=Math.cos(d),v=Math.sin(d),y=Math.cos(m),x=Math.sin(m),b=this.computedCenter,_=g*y,w=v*y,T=x,k=-g*x,A=-v*x,M=y,S=this.computedEye,E=this.computedMatrix;for(a=0;a<3;++a){var L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],I=E[9],O=E[2],z=E[6],D=E[10],R=P*D-I*z,F=I*O-C*D,B=C*z-P*O,N=c(R,F,B);R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B;for(a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){u=0;for(var j=0;j<3;++j)u+=E[a+4*j]*S[j];E[12+a]=-u}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,c=0;c<3;++c)i[4*c]=o[c],i[4*c+1]=s[c],i[4*c+2]=l[c];a(i,i,n,d);for(c=0;c<3;++c)o[c]=i[4*c],s[c]=i[4*c+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=c(a,o,s);a/=l,o/=l,s/=l;var u=i[0],f=i[4],h=i[8],p=u*a+f*o+h*s,d=c(u-=a*p,f-=o*p,h-=s*p),m=(u/=d)*e+a*r,g=(f/=d)*e+o*r,v=(h/=d)*e+s*r;this.center.move(t,m,g,v);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+n),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\"number\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),m=Math.max(h,p,d);h===m?(s=s<0?-1:1,l=f=0):d===m?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var g=c(s,l,f);s/=g,l/=g,f/=g}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=c(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,q,G,Y),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,I=E*k+L*A+C*M;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var O=e[2],z=e[6],D=e[10],R=O*s+z*l+D*f,F=O*x+z*b+D*_,B=O*k+z*A+D*M;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,Y=V[14]/H,W=Math.exp(this.computedRadius[0]);this.center.jump(t,q-N*W,G-j*W,Y-U*W)},p.lastT=function(){return 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   "source": [
    "# I'm not sure how to change the positions for nodes \n",
    "# possibly through changing the arguments x and y coordinates in go.Sankey\n",
    "\n",
    "# I'm not sure how to add arrows to links to indicate origins and destinations\n",
    "import plotly.graph_objects as go\n",
    "# import kaleido\n",
    "\n",
    "def color_to_rgba(color, opacity):\n",
    "    color_dict = {\n",
    "        \"red\": \"rgba(255,0,0,{})\".format(opacity),\n",
    "        \"purple\": \"rgba(128,0,128,{})\".format(opacity),\n",
    "        \"blue\": \"rgba(0,0,255,{})\".format(opacity)\n",
    "    }\n",
    "    return color_dict.get(color, color)\n",
    "\n",
    "labels = [\"red counties\", \"purple counties\", \"blue counties\", \"\", \"\", \"\"]\n",
    "\n",
    "#labels = [\"A1\", \"A2\", \"A3\", \"B1\", \"B2\", \"B3\"]\n",
    "# set link transparency\n",
    "opacity = 0.4\n",
    "node_colors = [\"red\", \"purple\", \"blue\",\"red\", \"purple\", \"blue\"] #0,1,2,3,4,5\n",
    "link_colors = [\"red\", \"red\", \"red\",\"purple\", \"purple\", \"purple\", \"blue\", \n",
    "               \"blue\",\"blue\"]\n",
    "# set up opacity for links\n",
    "link_colors_opc = [color_to_rgba(i, 0.4) for i in link_colors] \n",
    "\n",
    "fig = go.Figure(data=[go.Sankey(\n",
    "    node = dict(\n",
    "      pad = 15,\n",
    "      thickness = 20,\n",
    "      line = dict(color = \"black\", width = 0.5),\n",
    "      label = labels, \n",
    "      color = node_colors,\n",
    "#      x = [0, 0, 0, 1,1,1]\n",
    "#      y = [0.9, 0.6, 0.3, 0.9, 0.6, 0.3] \n",
    "    ),\n",
    "    link = dict(\n",
    "      source = [0, 0, 0, 1,1,1,2,2,2], # indices correspond to node_colors, 0,1,2,3,4,5\n",
    "      target = [3, 4, 5, 3,4,5,3,4,5],\n",
    "      value = [2.61, 2.14, 5.26, 4.71, 0,5.3,1.98,0.49,7.52],  # the percentage is mulitple by 10 to show the differences\n",
    "      color = link_colors_opc\n",
    "  ))])\n",
    "\n",
    "#fig.update_layout(title_text=\"Basic Sankey Diagram\", font_size=10)\n",
    "#fig.write_image('.../figures/sankey_diagram_1.pdf', format='pdf')\n",
    "fig.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "80fa7af0",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "5d74fdf1",
   "metadata": {},
   "source": [
    "# plot scatter plot (political leaning vs. traveling polarization index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "a6f2b682",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.497058Z",
     "start_time": "2025-02-22T00:37:01.493259Z"
    }
   },
   "outputs": [],
   "source": [
    "# map the pol_index values to the dataframe\n",
    "visits_nx['pol_index'] = visits_nx['GEOIDo_str_county'].map(pol_index).fillna(999)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "377326fb",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.501743Z",
     "start_time": "2025-02-22T00:37:01.498441Z"
    }
   },
   "outputs": [],
   "source": [
    "visits_nx_filtered = visits_nx[visits_nx['pol_index'] != 999]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "98bfc3ff",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.513195Z",
     "start_time": "2025-02-22T00:37:01.503130Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GEOIDo_str_county</th>\n",
       "      <th>GEOIDd_str_county</th>\n",
       "      <th>trips</th>\n",
       "      <th>year</th>\n",
       "      <th>state_o</th>\n",
       "      <th>state_po_o</th>\n",
       "      <th>county_name_o</th>\n",
       "      <th>office</th>\n",
       "      <th>version</th>\n",
       "      <th>mode</th>\n",
       "      <th>vote_percent_difference_o</th>\n",
       "      <th>state_d</th>\n",
       "      <th>state_po_d</th>\n",
       "      <th>county_name_d</th>\n",
       "      <th>vote_percent_difference_d</th>\n",
       "      <th>vote_percent_difference_o_color</th>\n",
       "      <th>vote_percent_difference_d_color</th>\n",
       "      <th>pol_index</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6001</td>\n",
       "      <td>6013</td>\n",
       "      <td>307500</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>CONTRA COSTA</td>\n",
       "      <td>-0.453297</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6001</td>\n",
       "      <td>6041</td>\n",
       "      <td>31821</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>MARIN</td>\n",
       "      <td>-0.665315</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6001</td>\n",
       "      <td>6075</td>\n",
       "      <td>590220</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>SAN FRANCISCO</td>\n",
       "      <td>-0.725368</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6001</td>\n",
       "      <td>6081</td>\n",
       "      <td>275733</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>SAN MATEO</td>\n",
       "      <td>-0.576918</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6037</td>\n",
       "      <td>6059</td>\n",
       "      <td>2252844</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>LOS ANGELES</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.441650</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ORANGE</td>\n",
       "      <td>-0.090342</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   GEOIDo_str_county  GEOIDd_str_county    trips  year     state_o state_po_o  \\\n",
       "1               6001               6013   307500  2020  CALIFORNIA         CA   \n",
       "2               6001               6041    31821  2020  CALIFORNIA         CA   \n",
       "3               6001               6075   590220  2020  CALIFORNIA         CA   \n",
       "4               6001               6081   275733  2020  CALIFORNIA         CA   \n",
       "5               6037               6059  2252844  2020  CALIFORNIA         CA   \n",
       "\n",
       "  county_name_o        office   version mode  vote_percent_difference_o  \\\n",
       "1       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "2       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "3       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "4       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "5   LOS ANGELES  US PRESIDENT  20220315  all                  -0.441650   \n",
       "\n",
       "      state_d state_po_d  county_name_d  vote_percent_difference_d  \\\n",
       "1  CALIFORNIA         CA   CONTRA COSTA                  -0.453297   \n",
       "2  CALIFORNIA         CA          MARIN                  -0.665315   \n",
       "3  CALIFORNIA         CA  SAN FRANCISCO                  -0.725368   \n",
       "4  CALIFORNIA         CA      SAN MATEO                  -0.576918   \n",
       "5  CALIFORNIA         CA         ORANGE                  -0.090342   \n",
       "\n",
       "  vote_percent_difference_o_color vote_percent_difference_d_color  pol_index  \n",
       "1                      mediumblue                      mediumblue        1.0  \n",
       "2                      mediumblue                      mediumblue        1.0  \n",
       "3                      mediumblue                      mediumblue        1.0  \n",
       "4                      mediumblue                      mediumblue        1.0  \n",
       "5                      mediumblue                      mediumblue        1.0  "
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visits_nx_filtered.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "ea64da04",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.517615Z",
     "start_time": "2025-02-22T00:37:01.514666Z"
    }
   },
   "outputs": [],
   "source": [
    "# keep unique counties in a column\n",
    "plot_df = visits_nx_filtered.drop_duplicates(subset = ['GEOIDo_str_county'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "08613b8a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.528643Z",
     "start_time": "2025-02-22T00:37:01.519070Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GEOIDo_str_county</th>\n",
       "      <th>GEOIDd_str_county</th>\n",
       "      <th>trips</th>\n",
       "      <th>year</th>\n",
       "      <th>state_o</th>\n",
       "      <th>state_po_o</th>\n",
       "      <th>county_name_o</th>\n",
       "      <th>office</th>\n",
       "      <th>version</th>\n",
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       "      <th>state_d</th>\n",
       "      <th>state_po_d</th>\n",
       "      <th>county_name_d</th>\n",
       "      <th>vote_percent_difference_d</th>\n",
       "      <th>vote_percent_difference_o_color</th>\n",
       "      <th>vote_percent_difference_d_color</th>\n",
       "      <th>pol_index</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6001</td>\n",
       "      <td>6013</td>\n",
       "      <td>307500</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>CONTRA COSTA</td>\n",
       "      <td>-0.453297</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>1.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6037</td>\n",
       "      <td>6059</td>\n",
       "      <td>2252844</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>LOS ANGELES</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.441650</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ORANGE</td>\n",
       "      <td>-0.090342</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>1.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6059</td>\n",
       "      <td>6037</td>\n",
       "      <td>1360337</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ORANGE</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.090342</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>LOS ANGELES</td>\n",
       "      <td>-0.441650</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>1.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>6065</td>\n",
       "      <td>6071</td>\n",
       "      <td>520733</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>RIVERSIDE</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.079422</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>SAN BERNARDINO</td>\n",
       "      <td>-0.106526</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>1.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>6067</td>\n",
       "      <td>6017</td>\n",
       "      <td>48039</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>SACRAMENTO</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.252496</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>EL DORADO</td>\n",
       "      <td>0.087957</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>firebrick</td>\n",
       "      <td>-0.1379</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   GEOIDo_str_county  GEOIDd_str_county    trips  year     state_o state_po_o  \\\n",
       "1               6001               6013   307500  2020  CALIFORNIA         CA   \n",
       "5               6037               6059  2252844  2020  CALIFORNIA         CA   \n",
       "6               6059               6037  1360337  2020  CALIFORNIA         CA   \n",
       "7               6065               6071   520733  2020  CALIFORNIA         CA   \n",
       "8               6067               6017    48039  2020  CALIFORNIA         CA   \n",
       "\n",
       "  county_name_o        office   version mode  vote_percent_difference_o  \\\n",
       "1       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "5   LOS ANGELES  US PRESIDENT  20220315  all                  -0.441650   \n",
       "6        ORANGE  US PRESIDENT  20220315  all                  -0.090342   \n",
       "7     RIVERSIDE  US PRESIDENT  20220315  all                  -0.079422   \n",
       "8    SACRAMENTO  US PRESIDENT  20220315  all                  -0.252496   \n",
       "\n",
       "      state_d state_po_d   county_name_d  vote_percent_difference_d  \\\n",
       "1  CALIFORNIA         CA    CONTRA COSTA                  -0.453297   \n",
       "5  CALIFORNIA         CA          ORANGE                  -0.090342   \n",
       "6  CALIFORNIA         CA     LOS ANGELES                  -0.441650   \n",
       "7  CALIFORNIA         CA  SAN BERNARDINO                  -0.106526   \n",
       "8  CALIFORNIA         CA       EL DORADO                   0.087957   \n",
       "\n",
       "  vote_percent_difference_o_color vote_percent_difference_d_color  pol_index  \n",
       "1                      mediumblue                      mediumblue     1.0000  \n",
       "5                      mediumblue                      mediumblue     1.0000  \n",
       "6                      mediumblue                      mediumblue     1.0000  \n",
       "7                      mediumblue                      mediumblue     1.0000  \n",
       "8                      mediumblue                       firebrick    -0.1379  "
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "bbe95f33",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.701020Z",
     "start_time": "2025-02-22T00:37:01.530077Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "x = plot_df['vote_percent_difference_o']\n",
    "y = plot_df['pol_index']\n",
    "\n",
    "# Plotting the scatter plot\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.scatter(x, y, color=list(plot_df['vote_percent_difference_o_color']), alpha=0.7)\n",
    "\n",
    "# Adding titles and labels\n",
    "#plt.title(\"Scatter Plot of 83 Coordinates\")\n",
    "plt.xlabel(\"Political Leaning\", fontsize = 12)\n",
    "plt.ylabel(\"Traveling Polarization Index\", fontsize = 12)\n",
    "\n",
    "# Get the current Axes object and set xticks\n",
    "ax = plt.gca()\n",
    "#ax.set_xticks([])  # This removes the x-ticks\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "\n",
    "# Create custom handles for the legend\n",
    "blue_dots = plt.scatter([], [], color='mediumblue', marker='o', label='Blue Counties')\n",
    "red_dots = plt.scatter([], [], color='firebrick', marker='o', label='Red Counties')\n",
    "\n",
    "# Adding the legend\n",
    "plt.legend(handles=[blue_dots, red_dots], loc= 'upper right', bbox_to_anchor=(1.3, 1), fontsize=12)  # , bbox_to_an\n",
    "\n",
    "#plt.savefig('.../scatter_leaning_pol_index_updated.pdf', bbox_inches = 'tight')\n",
    "# Show the plot\n",
    "#plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dfe8bca2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "12c62d1c",
   "metadata": {},
   "source": [
    "# plot scatter plot (political leaning strength vs. traveling polarization index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "a2a71636",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.704822Z",
     "start_time": "2025-02-22T00:37:01.702684Z"
    }
   },
   "outputs": [],
   "source": [
    "# run 3.1 to get polarization index and 5 to get plot_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "1835da39",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.708539Z",
     "start_time": "2025-02-22T00:37:01.706344Z"
    }
   },
   "outputs": [],
   "source": [
    "vote_percent_difference_o_abs = [abs(i) for i in plot_df['vote_percent_difference_o']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "d4bb38a9",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.712509Z",
     "start_time": "2025-02-22T00:37:01.710090Z"
    }
   },
   "outputs": [],
   "source": [
    "plot_df['vote_percent_difference_o_abs'] = vote_percent_difference_o_abs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "995f31f0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.841200Z",
     "start_time": "2025-02-22T00:37:01.714225Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "x = plot_df['vote_percent_difference_o_abs']\n",
    "y = plot_df['pol_index']\n",
    "\n",
    "# Plotting the scatter plot\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.scatter(x, y, color='darkcyan', alpha=0.7)\n",
    "\n",
    "# Adding titles and labels\n",
    "plt.xlabel(\"Political Leaning Strength\", fontsize=12)\n",
    "plt.ylabel(\"Traveling Polarization Index\", fontsize=12)\n",
    "\n",
    "# Get the current Axes object and set xticks\n",
    "ax = plt.gca()\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "\n",
    "# Create custom handles for the legend\n",
    "dots = plt.scatter([], [], color='darkcyan', marker='o', label='Counties')\n",
    "\n",
    "# Adding the regression line y = 1.6433x - 0.3409\n",
    "regression_x = np.linspace(min(x), max(x), 100)  # Generate 100 points between the min and max of x\n",
    "regression_y = 1.6433 * regression_x - 0.3409  # Calculate the corresponding y values\n",
    "plt.plot(regression_x, regression_y, color='darkslategrey', label='Regression Line: y = 1.6433x - 0.3409')\n",
    "\n",
    "# Adding the legend\n",
    "plt.legend(handles=[dots], loc='upper right', bbox_to_anchor=(1.25, 1), fontsize=12)\n",
    "\n",
    "#plt.savefig('.../scatter_leaning_strength_pol_index_updated.pdf', bbox_inches = 'tight')\n",
    "\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51e72cc6",
   "metadata": {},
   "source": [
    "# plot travel network"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "68ab2e16",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-08-08T01:55:06.736131Z",
     "start_time": "2024-08-08T01:55:06.731000Z"
    },
    "scrolled": true
   },
   "source": [
    "## create d_color_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "08d87138",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.845644Z",
     "start_time": "2025-02-22T00:37:01.843029Z"
    }
   },
   "outputs": [],
   "source": [
    "o_color_dict = dict(zip(visits_nx['GEOIDo_str_county'], visits_nx['vote_percent_difference_o_color']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "8cfb7712",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.850027Z",
     "start_time": "2025-02-22T00:37:01.847231Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "89"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# the number of origins\n",
    "len(o_color_dict.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "4a908073",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.861537Z",
     "start_time": "2025-02-22T00:37:01.851637Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GEOIDo_str_county</th>\n",
       "      <th>GEOIDd_str_county</th>\n",
       "      <th>trips</th>\n",
       "      <th>year</th>\n",
       "      <th>state_o</th>\n",
       "      <th>state_po_o</th>\n",
       "      <th>county_name_o</th>\n",
       "      <th>office</th>\n",
       "      <th>version</th>\n",
       "      <th>mode</th>\n",
       "      <th>vote_percent_difference_o</th>\n",
       "      <th>state_d</th>\n",
       "      <th>state_po_d</th>\n",
       "      <th>county_name_d</th>\n",
       "      <th>vote_percent_difference_d</th>\n",
       "      <th>vote_percent_difference_o_color</th>\n",
       "      <th>vote_percent_difference_d_color</th>\n",
       "      <th>pol_index</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4013</td>\n",
       "      <td>4021</td>\n",
       "      <td>270444</td>\n",
       "      <td>2020</td>\n",
       "      <td>ARIZONA</td>\n",
       "      <td>AZ</td>\n",
       "      <td>MARICOPA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.021811</td>\n",
       "      <td>ARIZONA</td>\n",
       "      <td>AZ</td>\n",
       "      <td>PINAL</td>\n",
       "      <td>0.172841</td>\n",
       "      <td>purple</td>\n",
       "      <td>firebrick</td>\n",
       "      <td>999.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6001</td>\n",
       "      <td>6013</td>\n",
       "      <td>307500</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>CONTRA COSTA</td>\n",
       "      <td>-0.453297</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6001</td>\n",
       "      <td>6041</td>\n",
       "      <td>31821</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>MARIN</td>\n",
       "      <td>-0.665315</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6001</td>\n",
       "      <td>6075</td>\n",
       "      <td>590220</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>SAN FRANCISCO</td>\n",
       "      <td>-0.725368</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6001</td>\n",
       "      <td>6081</td>\n",
       "      <td>275733</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>SAN MATEO</td>\n",
       "      <td>-0.576918</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   GEOIDo_str_county  GEOIDd_str_county   trips  year     state_o state_po_o  \\\n",
       "0               4013               4021  270444  2020     ARIZONA         AZ   \n",
       "1               6001               6013  307500  2020  CALIFORNIA         CA   \n",
       "2               6001               6041   31821  2020  CALIFORNIA         CA   \n",
       "3               6001               6075  590220  2020  CALIFORNIA         CA   \n",
       "4               6001               6081  275733  2020  CALIFORNIA         CA   \n",
       "\n",
       "  county_name_o        office   version mode  vote_percent_difference_o  \\\n",
       "0      MARICOPA  US PRESIDENT  20220315  all                  -0.021811   \n",
       "1       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "2       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "3       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "4       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "\n",
       "      state_d state_po_d  county_name_d  vote_percent_difference_d  \\\n",
       "0     ARIZONA         AZ          PINAL                   0.172841   \n",
       "1  CALIFORNIA         CA   CONTRA COSTA                  -0.453297   \n",
       "2  CALIFORNIA         CA          MARIN                  -0.665315   \n",
       "3  CALIFORNIA         CA  SAN FRANCISCO                  -0.725368   \n",
       "4  CALIFORNIA         CA      SAN MATEO                  -0.576918   \n",
       "\n",
       "  vote_percent_difference_o_color vote_percent_difference_d_color  pol_index  \n",
       "0                          purple                       firebrick      999.0  \n",
       "1                      mediumblue                      mediumblue        1.0  \n",
       "2                      mediumblue                      mediumblue        1.0  \n",
       "3                      mediumblue                      mediumblue        1.0  \n",
       "4                      mediumblue                      mediumblue        1.0  "
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visits_nx.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "9aa46bb4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.865584Z",
     "start_time": "2025-02-22T00:37:01.863131Z"
    }
   },
   "outputs": [],
   "source": [
    "d_color_dict = dict(zip(visits_nx['GEOIDd_str_county'], visits_nx['vote_percent_difference_d_color']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "47e640d5",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.870121Z",
     "start_time": "2025-02-22T00:37:01.866964Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "428"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(d_color_dict.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "3278d329",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.873664Z",
     "start_time": "2025-02-22T00:37:01.871557Z"
    }
   },
   "outputs": [],
   "source": [
    "d_color_dict.update(o_color_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "dfc46d8b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.877628Z",
     "start_time": "2025-02-22T00:37:01.875139Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'firebrick'"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d_color_dict[4021]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "c00a4edc",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.882044Z",
     "start_time": "2025-02-22T00:37:01.879201Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "471"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(d_color_dict.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b3be2d65",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "fdd362b5",
   "metadata": {},
   "source": [
    "## new york county"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "48ce1399",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.889097Z",
     "start_time": "2025-02-22T00:37:01.883283Z"
    }
   },
   "outputs": [],
   "source": [
    "visits_nx = pd.read_csv('.../tract_to_tract_data_county_info_color.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "8d6aea1b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.908012Z",
     "start_time": "2025-02-22T00:37:01.890663Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GEOIDo_str_county</th>\n",
       "      <th>GEOIDd_str_county</th>\n",
       "      <th>trips</th>\n",
       "      <th>year</th>\n",
       "      <th>state_o</th>\n",
       "      <th>state_po_o</th>\n",
       "      <th>county_name_o</th>\n",
       "      <th>office</th>\n",
       "      <th>version</th>\n",
       "      <th>mode</th>\n",
       "      <th>vote_percent_difference_o</th>\n",
       "      <th>state_d</th>\n",
       "      <th>state_po_d</th>\n",
       "      <th>county_name_d</th>\n",
       "      <th>vote_percent_difference_d</th>\n",
       "      <th>vote_percent_difference_o_color</th>\n",
       "      <th>vote_percent_difference_d_color</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4013</td>\n",
       "      <td>4021</td>\n",
       "      <td>270444</td>\n",
       "      <td>2020</td>\n",
       "      <td>ARIZONA</td>\n",
       "      <td>AZ</td>\n",
       "      <td>MARICOPA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.021811</td>\n",
       "      <td>ARIZONA</td>\n",
       "      <td>AZ</td>\n",
       "      <td>PINAL</td>\n",
       "      <td>0.172841</td>\n",
       "      <td>purple</td>\n",
       "      <td>firebrick</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6001</td>\n",
       "      <td>6013</td>\n",
       "      <td>307500</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>CONTRA COSTA</td>\n",
       "      <td>-0.453297</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6001</td>\n",
       "      <td>6041</td>\n",
       "      <td>31821</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>MARIN</td>\n",
       "      <td>-0.665315</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6001</td>\n",
       "      <td>6075</td>\n",
       "      <td>590220</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>SAN FRANCISCO</td>\n",
       "      <td>-0.725368</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6001</td>\n",
       "      <td>6081</td>\n",
       "      <td>275733</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>SAN MATEO</td>\n",
       "      <td>-0.576918</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   GEOIDo_str_county  GEOIDd_str_county   trips  year     state_o state_po_o  \\\n",
       "0               4013               4021  270444  2020     ARIZONA         AZ   \n",
       "1               6001               6013  307500  2020  CALIFORNIA         CA   \n",
       "2               6001               6041   31821  2020  CALIFORNIA         CA   \n",
       "3               6001               6075  590220  2020  CALIFORNIA         CA   \n",
       "4               6001               6081  275733  2020  CALIFORNIA         CA   \n",
       "\n",
       "  county_name_o        office   version mode  vote_percent_difference_o  \\\n",
       "0      MARICOPA  US PRESIDENT  20220315  all                  -0.021811   \n",
       "1       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "2       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "3       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "4       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "\n",
       "      state_d state_po_d  county_name_d  vote_percent_difference_d  \\\n",
       "0     ARIZONA         AZ          PINAL                   0.172841   \n",
       "1  CALIFORNIA         CA   CONTRA COSTA                  -0.453297   \n",
       "2  CALIFORNIA         CA          MARIN                  -0.665315   \n",
       "3  CALIFORNIA         CA  SAN FRANCISCO                  -0.725368   \n",
       "4  CALIFORNIA         CA      SAN MATEO                  -0.576918   \n",
       "\n",
       "  vote_percent_difference_o_color vote_percent_difference_d_color  \n",
       "0                          purple                       firebrick  \n",
       "1                      mediumblue                      mediumblue  \n",
       "2                      mediumblue                      mediumblue  \n",
       "3                      mediumblue                      mediumblue  \n",
       "4                      mediumblue                      mediumblue  "
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visits_nx.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "65cf05e4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.911787Z",
     "start_time": "2025-02-22T00:37:01.909740Z"
    }
   },
   "outputs": [],
   "source": [
    "#county_origins = list(visits_nx['GEOIDo_str_county'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "64fa7fc6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.915115Z",
     "start_time": "2025-02-22T00:37:01.913307Z"
    }
   },
   "outputs": [],
   "source": [
    "# Count the occurrences of each element\n",
    "#county_counts = Counter(county_origins)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "9aa107f4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.918609Z",
     "start_time": "2025-02-22T00:37:01.916643Z"
    }
   },
   "outputs": [],
   "source": [
    "#county_counts.most_common()[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "958d4ad5",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.921942Z",
     "start_time": "2025-02-22T00:37:01.920194Z"
    }
   },
   "outputs": [],
   "source": [
    "# which counties I should plot for travel networks?\n",
    "# plot a couple of them and pick two "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "29cbb587",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.926501Z",
     "start_time": "2025-02-22T00:37:01.923606Z"
    }
   },
   "outputs": [],
   "source": [
    "# the county includes most part of Manhattan\n",
    "new_york_county = visits_nx[visits_nx['GEOIDo_str_county'] == 36061]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "84f217d2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.937806Z",
     "start_time": "2025-02-22T00:37:01.927947Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GEOIDo_str_county</th>\n",
       "      <th>GEOIDd_str_county</th>\n",
       "      <th>trips</th>\n",
       "      <th>year</th>\n",
       "      <th>state_o</th>\n",
       "      <th>state_po_o</th>\n",
       "      <th>county_name_o</th>\n",
       "      <th>office</th>\n",
       "      <th>version</th>\n",
       "      <th>mode</th>\n",
       "      <th>vote_percent_difference_o</th>\n",
       "      <th>state_d</th>\n",
       "      <th>state_po_d</th>\n",
       "      <th>county_name_d</th>\n",
       "      <th>vote_percent_difference_d</th>\n",
       "      <th>vote_percent_difference_o_color</th>\n",
       "      <th>vote_percent_difference_d_color</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>410</th>\n",
       "      <td>36061</td>\n",
       "      <td>34003</td>\n",
       "      <td>208450</td>\n",
       "      <td>2020</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NY</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.738311</td>\n",
       "      <td>NEW JERSEY</td>\n",
       "      <td>NJ</td>\n",
       "      <td>BERGEN</td>\n",
       "      <td>-0.164465</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>411</th>\n",
       "      <td>36061</td>\n",
       "      <td>34013</td>\n",
       "      <td>125247</td>\n",
       "      <td>2020</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NY</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.738311</td>\n",
       "      <td>NEW JERSEY</td>\n",
       "      <td>NJ</td>\n",
       "      <td>ESSEX</td>\n",
       "      <td>-0.554124</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412</th>\n",
       "      <td>36061</td>\n",
       "      <td>34017</td>\n",
       "      <td>160394</td>\n",
       "      <td>2020</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NY</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.738311</td>\n",
       "      <td>NEW JERSEY</td>\n",
       "      <td>NJ</td>\n",
       "      <td>HUDSON</td>\n",
       "      <td>-0.463294</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413</th>\n",
       "      <td>36061</td>\n",
       "      <td>34019</td>\n",
       "      <td>4362</td>\n",
       "      <td>2020</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NY</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.738311</td>\n",
       "      <td>NEW JERSEY</td>\n",
       "      <td>NJ</td>\n",
       "      <td>HUNTERDON</td>\n",
       "      <td>0.043874</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>firebrick</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>414</th>\n",
       "      <td>36061</td>\n",
       "      <td>34023</td>\n",
       "      <td>44548</td>\n",
       "      <td>2020</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NY</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.738311</td>\n",
       "      <td>NEW JERSEY</td>\n",
       "      <td>NJ</td>\n",
       "      <td>MIDDLESEX</td>\n",
       "      <td>-0.221131</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     GEOIDo_str_county  GEOIDd_str_county   trips  year   state_o state_po_o  \\\n",
       "410              36061              34003  208450  2020  NEW YORK         NY   \n",
       "411              36061              34013  125247  2020  NEW YORK         NY   \n",
       "412              36061              34017  160394  2020  NEW YORK         NY   \n",
       "413              36061              34019    4362  2020  NEW YORK         NY   \n",
       "414              36061              34023   44548  2020  NEW YORK         NY   \n",
       "\n",
       "    county_name_o        office   version mode  vote_percent_difference_o  \\\n",
       "410      NEW YORK  US PRESIDENT  20220315  all                  -0.738311   \n",
       "411      NEW YORK  US PRESIDENT  20220315  all                  -0.738311   \n",
       "412      NEW YORK  US PRESIDENT  20220315  all                  -0.738311   \n",
       "413      NEW YORK  US PRESIDENT  20220315  all                  -0.738311   \n",
       "414      NEW YORK  US PRESIDENT  20220315  all                  -0.738311   \n",
       "\n",
       "        state_d state_po_d county_name_d  vote_percent_difference_d  \\\n",
       "410  NEW JERSEY         NJ        BERGEN                  -0.164465   \n",
       "411  NEW JERSEY         NJ         ESSEX                  -0.554124   \n",
       "412  NEW JERSEY         NJ        HUDSON                  -0.463294   \n",
       "413  NEW JERSEY         NJ     HUNTERDON                   0.043874   \n",
       "414  NEW JERSEY         NJ     MIDDLESEX                  -0.221131   \n",
       "\n",
       "    vote_percent_difference_o_color vote_percent_difference_d_color  \n",
       "410                      mediumblue                      mediumblue  \n",
       "411                      mediumblue                      mediumblue  \n",
       "412                      mediumblue                      mediumblue  \n",
       "413                      mediumblue                       firebrick  \n",
       "414                      mediumblue                      mediumblue  "
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_york_county.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "3191e5de",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.941997Z",
     "start_time": "2025-02-22T00:37:01.939477Z"
    }
   },
   "outputs": [],
   "source": [
    "nodes = list(new_york_county['GEOIDo_str_county']) + list(new_york_county['GEOIDd_str_county'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "ef30cdc6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.945489Z",
     "start_time": "2025-02-22T00:37:01.943621Z"
    }
   },
   "outputs": [],
   "source": [
    "nodes_new_york = list(set(nodes))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "98ebbe74",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.950064Z",
     "start_time": "2025-02-22T00:37:01.947103Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "25"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(nodes_new_york)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "62b68772",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.955954Z",
     "start_time": "2025-02-22T00:37:01.951450Z"
    }
   },
   "outputs": [],
   "source": [
    "edges = list(zip(new_york_county['GEOIDo_str_county'], new_york_county['GEOIDd_str_county']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "f88d5fb7",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.960926Z",
     "start_time": "2025-02-22T00:37:01.957757Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "24"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(edges)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "18dd9042",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.965748Z",
     "start_time": "2025-02-22T00:37:01.962440Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(36061, 34003),\n",
       " (36061, 34013),\n",
       " (36061, 34017),\n",
       " (36061, 34019),\n",
       " (36061, 34023)]"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "edges[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "d8a738a8",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.971057Z",
     "start_time": "2025-02-22T00:37:01.967696Z"
    }
   },
   "outputs": [],
   "source": [
    "# normalize edge widths so they range from 0 to 1 \n",
    "def normalize_not_inclusive(numbers, epsilon=1e-10):\n",
    "    min_val = min(numbers)\n",
    "    max_val = max(numbers)\n",
    "    normalized = []\n",
    "    for x in numbers:\n",
    "        normalized_value = epsilon + (1 - 2 * epsilon) * (x - min_val) / (max_val - min_val)\n",
    "        normalized.append(normalized_value)\n",
    "    return normalized\n",
    "\n",
    "numbers = list(new_york_county['trips'])  # Add your list of numbers here\n",
    "normalized_numbers = normalize_not_inclusive(numbers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "8458bb1e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.975592Z",
     "start_time": "2025-02-22T00:37:01.972554Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0.15030082286568788,\n",
       " 0.08937249017430557,\n",
       " 0.11511012113838155,\n",
       " 0.0008501833176086785,\n",
       " 0.030277799840280815]"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "normalized_numbers[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "bce36beb",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.980226Z",
     "start_time": "2025-02-22T00:37:01.977293Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1368789"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max(list(new_york_county['trips']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "id": "05d5696a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.984990Z",
     "start_time": "2025-02-22T00:37:01.981803Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3201"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min(list(new_york_county['trips']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5d054ba1",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "85a3f481",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.988525Z",
     "start_time": "2025-02-22T00:37:01.986541Z"
    }
   },
   "outputs": [],
   "source": [
    "# add labels to show the names of counties "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "92d72f64",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.991935Z",
     "start_time": "2025-02-22T00:37:01.990112Z"
    }
   },
   "outputs": [],
   "source": [
    "#labels = dict(zip(Fulton_county['GEOIDd_str_county'], Fulton_county['county_name_d']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "4b93ebd4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.995184Z",
     "start_time": "2025-02-22T00:37:01.993483Z"
    }
   },
   "outputs": [],
   "source": [
    "# add fulton county to the dict\n",
    "#labels[13121] = 'FULTON'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "deb47545",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:01.998642Z",
     "start_time": "2025-02-22T00:37:01.996902Z"
    }
   },
   "outputs": [],
   "source": [
    "#labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "id": "172bf946",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.005202Z",
     "start_time": "2025-02-22T00:37:02.000305Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "vote_percent_difference_d_color\n",
       "firebrick      104164\n",
       "mediumblue    5025807\n",
       "purple         367948\n",
       "Name: trips, dtype: int64"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_york_county.groupby('vote_percent_difference_d_color')['trips'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "29ea7149",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.179156Z",
     "start_time": "2025-02-22T00:37:02.006855Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# nodes colors are determined by the political leanings of nodes \n",
    "# edge width is determined by the number of trips between two nodes. \n",
    "\n",
    "# [0,0.4] blue counties \n",
    "# (0.4,0.6) purple counties\n",
    "# [0.6,1] red counties    change the ranges to see if the patterns change\n",
    "\n",
    "# Create a directed graph\n",
    "G = nx.DiGraph()\n",
    "\n",
    "# add nodes\n",
    "G.add_nodes_from(nodes_new_york)\n",
    "\n",
    "G.add_edges_from(edges)\n",
    "#node_sizes = [20 * (G.in_degree(n) + G.out_degree(n)) for n in G.nodes()]\n",
    "\n",
    "edge_widths = [i*10 for i in normalized_numbers]\n",
    "node_colors = [d_color_dict[n] for n in G.nodes()]\n",
    "\n",
    "pos = nx.spring_layout(G)  # positions for all nodes\n",
    "\n",
    "#node_labels = {n:labels[n] for n in G.nodes()}  # dict comprehension\n",
    "\n",
    "plt.figure(figsize=(8, 6))\n",
    "# Draw the nodes\n",
    "nx.draw_networkx_nodes(G, pos, node_color=node_colors, edgecolors='black')\n",
    "\n",
    "# Draw the edges\n",
    "nx.draw_networkx_edges(G, pos, edgelist=G.edges(), width=edge_widths, arrowstyle='->', arrowsize=6)\n",
    "\n",
    "# Draw the node labels\n",
    "#nx.draw_networkx_labels(G, pos, labels=node_labels,  font_size=8, font_family='sans-serif')\n",
    "\n",
    "plt.axis('off')\n",
    "# Display the plot\n",
    "#plt.title(\"Directed Network\")\n",
    "#plt.savefig('.../travel_network_new_york.pdf', format='pdf')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f38d0cb9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "f3a6923f",
   "metadata": {},
   "source": [
    "## Jefferson County, Kentucky "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "id": "bf66f45a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.187488Z",
     "start_time": "2025-02-22T00:37:02.180907Z"
    }
   },
   "outputs": [],
   "source": [
    "visits_nx = pd.read_csv('.../tract_to_tract_data_county_info_color.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "id": "710cc54b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.198227Z",
     "start_time": "2025-02-22T00:37:02.188749Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GEOIDo_str_county</th>\n",
       "      <th>GEOIDd_str_county</th>\n",
       "      <th>trips</th>\n",
       "      <th>year</th>\n",
       "      <th>state_o</th>\n",
       "      <th>state_po_o</th>\n",
       "      <th>county_name_o</th>\n",
       "      <th>office</th>\n",
       "      <th>version</th>\n",
       "      <th>mode</th>\n",
       "      <th>vote_percent_difference_o</th>\n",
       "      <th>state_d</th>\n",
       "      <th>state_po_d</th>\n",
       "      <th>county_name_d</th>\n",
       "      <th>vote_percent_difference_d</th>\n",
       "      <th>vote_percent_difference_o_color</th>\n",
       "      <th>vote_percent_difference_d_color</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4013</td>\n",
       "      <td>4021</td>\n",
       "      <td>270444</td>\n",
       "      <td>2020</td>\n",
       "      <td>ARIZONA</td>\n",
       "      <td>AZ</td>\n",
       "      <td>MARICOPA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.021811</td>\n",
       "      <td>ARIZONA</td>\n",
       "      <td>AZ</td>\n",
       "      <td>PINAL</td>\n",
       "      <td>0.172841</td>\n",
       "      <td>purple</td>\n",
       "      <td>firebrick</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6001</td>\n",
       "      <td>6013</td>\n",
       "      <td>307500</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>CONTRA COSTA</td>\n",
       "      <td>-0.453297</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6001</td>\n",
       "      <td>6041</td>\n",
       "      <td>31821</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>MARIN</td>\n",
       "      <td>-0.665315</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6001</td>\n",
       "      <td>6075</td>\n",
       "      <td>590220</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>SAN FRANCISCO</td>\n",
       "      <td>-0.725368</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6001</td>\n",
       "      <td>6081</td>\n",
       "      <td>275733</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.625073</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>SAN MATEO</td>\n",
       "      <td>-0.576918</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>mediumblue</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   GEOIDo_str_county  GEOIDd_str_county   trips  year     state_o state_po_o  \\\n",
       "0               4013               4021  270444  2020     ARIZONA         AZ   \n",
       "1               6001               6013  307500  2020  CALIFORNIA         CA   \n",
       "2               6001               6041   31821  2020  CALIFORNIA         CA   \n",
       "3               6001               6075  590220  2020  CALIFORNIA         CA   \n",
       "4               6001               6081  275733  2020  CALIFORNIA         CA   \n",
       "\n",
       "  county_name_o        office   version mode  vote_percent_difference_o  \\\n",
       "0      MARICOPA  US PRESIDENT  20220315  all                  -0.021811   \n",
       "1       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "2       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "3       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "4       ALAMEDA  US PRESIDENT  20220315  all                  -0.625073   \n",
       "\n",
       "      state_d state_po_d  county_name_d  vote_percent_difference_d  \\\n",
       "0     ARIZONA         AZ          PINAL                   0.172841   \n",
       "1  CALIFORNIA         CA   CONTRA COSTA                  -0.453297   \n",
       "2  CALIFORNIA         CA          MARIN                  -0.665315   \n",
       "3  CALIFORNIA         CA  SAN FRANCISCO                  -0.725368   \n",
       "4  CALIFORNIA         CA      SAN MATEO                  -0.576918   \n",
       "\n",
       "  vote_percent_difference_o_color vote_percent_difference_d_color  \n",
       "0                          purple                       firebrick  \n",
       "1                      mediumblue                      mediumblue  \n",
       "2                      mediumblue                      mediumblue  \n",
       "3                      mediumblue                      mediumblue  \n",
       "4                      mediumblue                      mediumblue  "
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visits_nx.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "id": "6db9e0bc",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.202090Z",
     "start_time": "2025-02-22T00:37:02.200077Z"
    }
   },
   "outputs": [],
   "source": [
    "#county_origins = list(visits_nx['GEOIDo_str_county'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "id": "8911e150",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.205545Z",
     "start_time": "2025-02-22T00:37:02.203731Z"
    }
   },
   "outputs": [],
   "source": [
    "# Count the occurrences of each element\n",
    "#county_counts = Counter(county_origins)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "id": "92e53021",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.209227Z",
     "start_time": "2025-02-22T00:37:02.207216Z"
    }
   },
   "outputs": [],
   "source": [
    "#county_counts.most_common()[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "id": "60466b33",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.212653Z",
     "start_time": "2025-02-22T00:37:02.210844Z"
    }
   },
   "outputs": [],
   "source": [
    "# which counties I should plot for travel networks?\n",
    "# plot a couple of them and pick two "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "id": "38f4b1d2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.216991Z",
     "start_time": "2025-02-22T00:37:02.214186Z"
    }
   },
   "outputs": [],
   "source": [
    "# the county includes most part of Manhattan\n",
    "jefferson_county = visits_nx[visits_nx['GEOIDo_str_county'] == 21111]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "id": "ce1da439",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.227263Z",
     "start_time": "2025-02-22T00:37:02.218587Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GEOIDo_str_county</th>\n",
       "      <th>GEOIDd_str_county</th>\n",
       "      <th>trips</th>\n",
       "      <th>year</th>\n",
       "      <th>state_o</th>\n",
       "      <th>state_po_o</th>\n",
       "      <th>county_name_o</th>\n",
       "      <th>office</th>\n",
       "      <th>version</th>\n",
       "      <th>mode</th>\n",
       "      <th>vote_percent_difference_o</th>\n",
       "      <th>state_d</th>\n",
       "      <th>state_po_d</th>\n",
       "      <th>county_name_d</th>\n",
       "      <th>vote_percent_difference_d</th>\n",
       "      <th>vote_percent_difference_o_color</th>\n",
       "      <th>vote_percent_difference_d_color</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>21111</td>\n",
       "      <td>18019</td>\n",
       "      <td>86627</td>\n",
       "      <td>2020</td>\n",
       "      <td>KENTUCKY</td>\n",
       "      <td>KY</td>\n",
       "      <td>JEFFERSON</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.201167</td>\n",
       "      <td>INDIANA</td>\n",
       "      <td>IN</td>\n",
       "      <td>CLARK</td>\n",
       "      <td>0.182740</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>firebrick</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>21111</td>\n",
       "      <td>18043</td>\n",
       "      <td>45376</td>\n",
       "      <td>2020</td>\n",
       "      <td>KENTUCKY</td>\n",
       "      <td>KY</td>\n",
       "      <td>JEFFERSON</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.201167</td>\n",
       "      <td>INDIANA</td>\n",
       "      <td>IN</td>\n",
       "      <td>FLOYD</td>\n",
       "      <td>0.140878</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>firebrick</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>21111</td>\n",
       "      <td>18061</td>\n",
       "      <td>10035</td>\n",
       "      <td>2020</td>\n",
       "      <td>KENTUCKY</td>\n",
       "      <td>KY</td>\n",
       "      <td>JEFFERSON</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.201167</td>\n",
       "      <td>INDIANA</td>\n",
       "      <td>IN</td>\n",
       "      <td>HARRISON</td>\n",
       "      <td>0.455722</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>firebrick</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>21111</td>\n",
       "      <td>18143</td>\n",
       "      <td>3120</td>\n",
       "      <td>2020</td>\n",
       "      <td>KENTUCKY</td>\n",
       "      <td>KY</td>\n",
       "      <td>JEFFERSON</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.201167</td>\n",
       "      <td>INDIANA</td>\n",
       "      <td>IN</td>\n",
       "      <td>SCOTT</td>\n",
       "      <td>0.455395</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>firebrick</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>21111</td>\n",
       "      <td>18175</td>\n",
       "      <td>1479</td>\n",
       "      <td>2020</td>\n",
       "      <td>KENTUCKY</td>\n",
       "      <td>KY</td>\n",
       "      <td>JEFFERSON</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>-0.201167</td>\n",
       "      <td>INDIANA</td>\n",
       "      <td>IN</td>\n",
       "      <td>WASHINGTON</td>\n",
       "      <td>0.521460</td>\n",
       "      <td>mediumblue</td>\n",
       "      <td>firebrick</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     GEOIDo_str_county  GEOIDd_str_county  trips  year   state_o state_po_o  \\\n",
       "176              21111              18019  86627  2020  KENTUCKY         KY   \n",
       "177              21111              18043  45376  2020  KENTUCKY         KY   \n",
       "178              21111              18061  10035  2020  KENTUCKY         KY   \n",
       "179              21111              18143   3120  2020  KENTUCKY         KY   \n",
       "180              21111              18175   1479  2020  KENTUCKY         KY   \n",
       "\n",
       "    county_name_o        office   version mode  vote_percent_difference_o  \\\n",
       "176     JEFFERSON  US PRESIDENT  20220315  all                  -0.201167   \n",
       "177     JEFFERSON  US PRESIDENT  20220315  all                  -0.201167   \n",
       "178     JEFFERSON  US PRESIDENT  20220315  all                  -0.201167   \n",
       "179     JEFFERSON  US PRESIDENT  20220315  all                  -0.201167   \n",
       "180     JEFFERSON  US PRESIDENT  20220315  all                  -0.201167   \n",
       "\n",
       "     state_d state_po_d county_name_d  vote_percent_difference_d  \\\n",
       "176  INDIANA         IN         CLARK                   0.182740   \n",
       "177  INDIANA         IN         FLOYD                   0.140878   \n",
       "178  INDIANA         IN      HARRISON                   0.455722   \n",
       "179  INDIANA         IN         SCOTT                   0.455395   \n",
       "180  INDIANA         IN    WASHINGTON                   0.521460   \n",
       "\n",
       "    vote_percent_difference_o_color vote_percent_difference_d_color  \n",
       "176                      mediumblue                       firebrick  \n",
       "177                      mediumblue                       firebrick  \n",
       "178                      mediumblue                       firebrick  \n",
       "179                      mediumblue                       firebrick  \n",
       "180                      mediumblue                       firebrick  "
      ]
     },
     "execution_count": 151,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jefferson_county.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "id": "685d8b4c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.231390Z",
     "start_time": "2025-02-22T00:37:02.228923Z"
    }
   },
   "outputs": [],
   "source": [
    "nodes = list(jefferson_county['GEOIDo_str_county']) + list(jefferson_county['GEOIDd_str_county'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "id": "a10343bc",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.235337Z",
     "start_time": "2025-02-22T00:37:02.233080Z"
    }
   },
   "outputs": [],
   "source": [
    "nodes_jefferson = list(set(nodes))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "id": "dd77923c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.239948Z",
     "start_time": "2025-02-22T00:37:02.236983Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(nodes_jefferson)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "id": "aabc8b93",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.243807Z",
     "start_time": "2025-02-22T00:37:02.241491Z"
    }
   },
   "outputs": [],
   "source": [
    "edges = list(zip(jefferson_county['GEOIDo_str_county'], jefferson_county['GEOIDd_str_county']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "id": "081f59b4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.248491Z",
     "start_time": "2025-02-22T00:37:02.245427Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(edges)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "id": "44d2ef91",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.253491Z",
     "start_time": "2025-02-22T00:37:02.250180Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(21111, 18019),\n",
       " (21111, 18043),\n",
       " (21111, 18061),\n",
       " (21111, 18143),\n",
       " (21111, 18175)]"
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "edges[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "id": "3656f68d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.258270Z",
     "start_time": "2025-02-22T00:37:02.255066Z"
    }
   },
   "outputs": [],
   "source": [
    "# normalize edge widths so they range from 0 to 1 \n",
    "def normalize_not_inclusive(numbers, epsilon=1e-10):\n",
    "    min_val = min(numbers)\n",
    "    max_val = max(numbers)\n",
    "    normalized = []\n",
    "    for x in numbers:\n",
    "        normalized_value = epsilon + (1 - 2 * epsilon) * (x - min_val) / (max_val - min_val)\n",
    "        normalized.append(normalized_value)\n",
    "    return normalized\n",
    "\n",
    "numbers = list(jefferson_county['trips'])  # Add your list of numbers here\n",
    "normalized_numbers = normalize_not_inclusive(numbers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "id": "b60b6b82",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.262771Z",
     "start_time": "2025-02-22T00:37:02.259729Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0.7462819878623265,\n",
       " 0.388563698349507,\n",
       " 0.08209544134549371,\n",
       " 0.022130301785697686,\n",
       " 0.007899962809902268]"
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "normalized_numbers[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "id": "cc7b370a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.267784Z",
     "start_time": "2025-02-22T00:37:02.264326Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "115885"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max(list(jefferson_county['trips']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "id": "6f4be003",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.272683Z",
     "start_time": "2025-02-22T00:37:02.269546Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "568"
      ]
     },
     "execution_count": 161,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min(list(jefferson_county['trips']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7740f2cf",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "id": "a2c7cb29",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.276378Z",
     "start_time": "2025-02-22T00:37:02.274372Z"
    }
   },
   "outputs": [],
   "source": [
    "# add labels to show the names of counties "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "id": "753b587a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.279862Z",
     "start_time": "2025-02-22T00:37:02.277976Z"
    }
   },
   "outputs": [],
   "source": [
    "#labels = dict(zip(Fulton_county['GEOIDd_str_county'], Fulton_county['county_name_d']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "id": "5a0cd24a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.283181Z",
     "start_time": "2025-02-22T00:37:02.281273Z"
    }
   },
   "outputs": [],
   "source": [
    "# add fulton county to the dict\n",
    "#labels[13121] = 'FULTON'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "id": "ace3dad0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.286701Z",
     "start_time": "2025-02-22T00:37:02.284827Z"
    }
   },
   "outputs": [],
   "source": [
    "#labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "id": "4090d4b5",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.292983Z",
     "start_time": "2025-02-22T00:37:02.288290Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "vote_percent_difference_d_color\n",
       "firebrick    424222\n",
       "Name: trips, dtype: int64"
      ]
     },
     "execution_count": 166,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jefferson_county.groupby('vote_percent_difference_d_color')['trips'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "id": "d323cf9a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.414700Z",
     "start_time": "2025-02-22T00:37:02.294560Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# get d_color_dict from 7.1\n",
    "\n",
    "# nodes colors are determined by the political leanings of nodes \n",
    "# edge width is determined by the number of trips between two nodes. \n",
    "\n",
    "# [0,0.4] blue counties \n",
    "# (0.4,0.6) purple counties\n",
    "# [0.6,1] red counties    change the ranges to see if the patterns change\n",
    "\n",
    "# Create a directed graph\n",
    "G = nx.DiGraph()\n",
    "\n",
    "# add nodes\n",
    "G.add_nodes_from(nodes_jefferson)\n",
    "\n",
    "G.add_edges_from(edges)\n",
    "#node_sizes = [20 * (G.in_degree(n) + G.out_degree(n)) for n in G.nodes()]\n",
    "\n",
    "edge_widths = [i*10 for i in normalized_numbers]\n",
    "node_colors = [d_color_dict[n] for n in G.nodes()]\n",
    "\n",
    "pos = nx.spring_layout(G)  # positions for all nodes\n",
    "\n",
    "#node_labels = {n:labels[n] for n in G.nodes()}  # dict comprehension\n",
    "\n",
    "plt.figure(figsize=(8, 6))\n",
    "# Draw the nodes\n",
    "nx.draw_networkx_nodes(G, pos, node_color=node_colors, edgecolors='black')\n",
    "\n",
    "# Draw the edges\n",
    "nx.draw_networkx_edges(G, pos, edgelist=G.edges(), width=edge_widths, arrowstyle='->', arrowsize=8)\n",
    "\n",
    "# Draw the node labels\n",
    "#nx.draw_networkx_labels(G, pos, labels=node_labels,  font_size=8, font_family='sans-serif')\n",
    "\n",
    "plt.axis('off')\n",
    "# Display the plot\n",
    "#plt.title(\"Directed Network\")\n",
    "#plt.savefig('.../travel_network_jefferson_Kentucky.pdf', format='pdf')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0387f3cc",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "3507a6cb",
   "metadata": {},
   "source": [
    "# regressions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "id": "86405173",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.437800Z",
     "start_time": "2025-02-22T00:37:02.416579Z"
    }
   },
   "outputs": [],
   "source": [
    "# county demographics\n",
    "county_demo = pd.read_csv('.../2020_CENSUS_ACS_demographics.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "id": "b3469a33",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.441508Z",
     "start_time": "2025-02-22T00:37:02.439276Z"
    }
   },
   "outputs": [],
   "source": [
    "# population, gender, age median, race, education, income media, income mean \n",
    "#county_demo.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "id": "6af29321",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.447060Z",
     "start_time": "2025-02-22T00:37:02.443700Z"
    }
   },
   "outputs": [],
   "source": [
    "county_demo_filterd = county_demo[['FIPS', 'County','Population', 'Male', 'Female', 'White', 'Income HH Median', 'Bachelor\\'s degree', 'Graduate or professional degree']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "id": "1d51fbb8",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.450601Z",
     "start_time": "2025-02-22T00:37:02.448585Z"
    }
   },
   "outputs": [],
   "source": [
    "#county_demo_filterd = county_demo[['FIPS', 'County', 'Population', 'Over 18', 'Male', 'Female', 'Age Median', 'White',\n",
    "#                                  'Black', 'Hispanic', 'Less than 9th grade','9th to 12th grade, no diploma',\n",
    "#                                  'High school graduate', 'Some college, no degree', 'Associate\\'s degree',\n",
    "#                                  'Bachelor\\'s degree', 'Graduate or professional degree', 'Income HH Median', \n",
    "#                                  'Income HH Mean']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "id": "48d6d332",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.455378Z",
     "start_time": "2025-02-22T00:37:02.452230Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['FIPS', 'County', 'Population', 'Male', 'Female', 'White',\n",
       "       'Income HH Median', 'Bachelor's degree',\n",
       "       'Graduate or professional degree'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "county_demo_filterd.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "id": "80f5e804",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.459967Z",
     "start_time": "2025-02-22T00:37:02.457047Z"
    }
   },
   "outputs": [],
   "source": [
    "county_demo_filterd.rename(columns={'Population': 'Population_o', 'Male': 'Male_o', \n",
    "                                   'Female': 'Female_o', 'White': 'White_o',  \n",
    "                                   'Bachelor\\'s degree': 'Bachelor_degree_o', 'Graduate or professional degree': 'Graduate_or_professional_degree_o', \n",
    "                                   'Income HH Median': 'Income_HH_Median_o'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "id": "f6a4fbe2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.463920Z",
     "start_time": "2025-02-22T00:37:02.461666Z"
    }
   },
   "outputs": [],
   "source": [
    "#county_demo_filterd.rename(columns={'Population': 'Population_o', 'Over 18': 'Over_18_o', 'Male': 'Male_o', \n",
    "#                                   'Female': 'Female_o', 'Age Median' : 'Age_Median_o', 'White': 'White_o', \n",
    "#                                   'Black': 'Black_o', 'Hispanic': 'Hispanic_o', 'Less than 9th grade': 'Less_than_9th_grade_o', \n",
    "#                                   '9th to 12th grade, no diploma': '9th_to_12th_grade_o', 'High school graduate': 'High_school_graduate_o', \n",
    "#                                   'Some college, no degree': 'Some_college_no_degree_o', 'Associate\\'s degree': 'Associate_degree_o', \n",
    "#                                   'Bachelor\\'s degree': 'Bachelor_degree', 'Graduate or professional degree': 'Graduate_or_professional_degree_o', \n",
    "#                                   'Income HH Median': 'Income_HH_Median_o', 'Income HH Mean': 'Income_HH_Mean_o'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "id": "55e8904b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.471964Z",
     "start_time": "2025-02-22T00:37:02.465455Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FIPS</th>\n",
       "      <th>County</th>\n",
       "      <th>Population_o</th>\n",
       "      <th>Male_o</th>\n",
       "      <th>Female_o</th>\n",
       "      <th>White_o</th>\n",
       "      <th>Income_HH_Median_o</th>\n",
       "      <th>Bachelor_degree_o</th>\n",
       "      <th>Graduate_or_professional_degree_o</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1001</td>\n",
       "      <td>Autauga County, Alabama</td>\n",
       "      <td>55639</td>\n",
       "      <td>27052</td>\n",
       "      <td>28587</td>\n",
       "      <td>43422</td>\n",
       "      <td>57982</td>\n",
       "      <td>6320.0</td>\n",
       "      <td>4401.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1003</td>\n",
       "      <td>Baldwin County, Alabama</td>\n",
       "      <td>218289</td>\n",
       "      <td>105889</td>\n",
       "      <td>112400</td>\n",
       "      <td>191923</td>\n",
       "      <td>61756</td>\n",
       "      <td>31444.0</td>\n",
       "      <td>18192.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1005</td>\n",
       "      <td>Barbour County, Alabama</td>\n",
       "      <td>25026</td>\n",
       "      <td>13156</td>\n",
       "      <td>11870</td>\n",
       "      <td>11989</td>\n",
       "      <td>34990</td>\n",
       "      <td>1296.0</td>\n",
       "      <td>771.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1007</td>\n",
       "      <td>Bibb County, Alabama</td>\n",
       "      <td>22374</td>\n",
       "      <td>12022</td>\n",
       "      <td>10352</td>\n",
       "      <td>17243</td>\n",
       "      <td>51721</td>\n",
       "      <td>1183.0</td>\n",
       "      <td>631.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1009</td>\n",
       "      <td>Blount County, Alabama</td>\n",
       "      <td>57755</td>\n",
       "      <td>28677</td>\n",
       "      <td>29078</td>\n",
       "      <td>55555</td>\n",
       "      <td>48922</td>\n",
       "      <td>3540.0</td>\n",
       "      <td>1736.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   FIPS                   County  Population_o  Male_o  Female_o  White_o  \\\n",
       "0  1001  Autauga County, Alabama         55639   27052     28587    43422   \n",
       "1  1003  Baldwin County, Alabama        218289  105889    112400   191923   \n",
       "2  1005  Barbour County, Alabama         25026   13156     11870    11989   \n",
       "3  1007     Bibb County, Alabama         22374   12022     10352    17243   \n",
       "4  1009   Blount County, Alabama         57755   28677     29078    55555   \n",
       "\n",
       "  Income_HH_Median_o  Bachelor_degree_o  Graduate_or_professional_degree_o  \n",
       "0              57982             6320.0                             4401.0  \n",
       "1              61756            31444.0                            18192.0  \n",
       "2              34990             1296.0                              771.0  \n",
       "3              51721             1183.0                              631.0  \n",
       "4              48922             3540.0                             1736.0  "
      ]
     },
     "execution_count": 175,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "county_demo_filterd.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "id": "c0e02f3f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.482436Z",
     "start_time": "2025-02-22T00:37:02.473511Z"
    }
   },
   "outputs": [],
   "source": [
    "# get plot_df from 5\n",
    "plot_df_merge = pd.merge(plot_df, county_demo_filterd, left_on = 'GEOIDo_str_county', right_on = 'FIPS', \n",
    "                        how = 'left').drop('FIPS', axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "id": "946c796d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.486201Z",
     "start_time": "2025-02-22T00:37:02.484104Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#plot_df_merge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "id": "49d37bf6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.490939Z",
     "start_time": "2025-02-22T00:37:02.487817Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "83"
      ]
     },
     "execution_count": 178,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(plot_df_merge)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "id": "ac231ce0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.495610Z",
     "start_time": "2025-02-22T00:37:02.492411Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['GEOIDo_str_county', 'GEOIDd_str_county', 'trips', 'year', 'state_o',\n",
       "       'state_po_o', 'county_name_o', 'office', 'version', 'mode',\n",
       "       'vote_percent_difference_o', 'state_d', 'state_po_d', 'county_name_d',\n",
       "       'vote_percent_difference_d', 'vote_percent_difference_o_color',\n",
       "       'vote_percent_difference_d_color', 'pol_index',\n",
       "       'vote_percent_difference_o_abs', 'County', 'Population_o', 'Male_o',\n",
       "       'Female_o', 'White_o', 'Income_HH_Median_o', 'Bachelor_degree_o',\n",
       "       'Graduate_or_professional_degree_o'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_df_merge.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "id": "efc01e5a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.500426Z",
     "start_time": "2025-02-22T00:37:02.497265Z"
    }
   },
   "outputs": [],
   "source": [
    "plot_df_merge['gender_ratio'] = plot_df_merge['Male_o'] / plot_df_merge['Population_o']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "id": "a3ed0823",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.504921Z",
     "start_time": "2025-02-22T00:37:02.501803Z"
    }
   },
   "outputs": [],
   "source": [
    "plot_df_merge['white_ratio'] = plot_df_merge['White_o'] / plot_df_merge['Population_o']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "id": "509b655a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.509396Z",
     "start_time": "2025-02-22T00:37:02.506344Z"
    }
   },
   "outputs": [],
   "source": [
    "plot_df_merge['education_ratio'] = (plot_df_merge['Bachelor_degree_o'] + plot_df_merge['Graduate_or_professional_degree_o']) / plot_df_merge['Population_o']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "id": "d18868a5",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.515073Z",
     "start_time": "2025-02-22T00:37:02.511008Z"
    }
   },
   "outputs": [],
   "source": [
    "plot_df_merge['population_rescale'] = (plot_df_merge['Population_o'] - plot_df_merge['Population_o'].min()) / (plot_df_merge['Population_o'].max() - plot_df_merge['Population_o'].min())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "id": "fd6f488b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.518778Z",
     "start_time": "2025-02-22T00:37:02.516530Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "plot_df_merge['Income_HH_Median_o'] = plot_df_merge['Income_HH_Median_o'].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "id": "d81e83ab",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.523402Z",
     "start_time": "2025-02-22T00:37:02.520213Z"
    }
   },
   "outputs": [],
   "source": [
    "plot_df_merge['income_rescale'] = (plot_df_merge['Income_HH_Median_o'] - plot_df_merge['Income_HH_Median_o'].min()) / (plot_df_merge['Income_HH_Median_o'].max() - plot_df_merge['Income_HH_Median_o'].min())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "id": "efe1ca10",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.528396Z",
     "start_time": "2025-02-22T00:37:02.525134Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['GEOIDo_str_county', 'GEOIDd_str_county', 'trips', 'year', 'state_o',\n",
       "       'state_po_o', 'county_name_o', 'office', 'version', 'mode',\n",
       "       'vote_percent_difference_o', 'state_d', 'state_po_d', 'county_name_d',\n",
       "       'vote_percent_difference_d', 'vote_percent_difference_o_color',\n",
       "       'vote_percent_difference_d_color', 'pol_index',\n",
       "       'vote_percent_difference_o_abs', 'County', 'Population_o', 'Male_o',\n",
       "       'Female_o', 'White_o', 'Income_HH_Median_o', 'Bachelor_degree_o',\n",
       "       'Graduate_or_professional_degree_o', 'gender_ratio', 'white_ratio',\n",
       "       'education_ratio', 'population_rescale', 'income_rescale'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_df_merge.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "id": "d2bd50ab",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.531923Z",
     "start_time": "2025-02-22T00:37:02.529852Z"
    }
   },
   "outputs": [],
   "source": [
    "# include state-level political leaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "id": "643878cf",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.538537Z",
     "start_time": "2025-02-22T00:37:02.533472Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "state_vote = pd.read_csv('.../statepres_2020_vote_difference.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "id": "cb0c167b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.541927Z",
     "start_time": "2025-02-22T00:37:02.539906Z"
    }
   },
   "outputs": [],
   "source": [
    "#state_vote"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "id": "09ce5608",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.546252Z",
     "start_time": "2025-02-22T00:37:02.543384Z"
    }
   },
   "outputs": [],
   "source": [
    "state_vote_differ = state_vote[['state_po', 'vote_percent_difference']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "id": "4c5da87e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.550901Z",
     "start_time": "2025-02-22T00:37:02.547728Z"
    }
   },
   "outputs": [],
   "source": [
    "state_vote_differ = state_vote_differ.drop_duplicates('state_po')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "id": "4a53e7c0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.555278Z",
     "start_time": "2025-02-22T00:37:02.552205Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "51"
      ]
     },
     "execution_count": 192,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(state_vote_differ)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "id": "9ea136ea",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.562328Z",
     "start_time": "2025-02-22T00:37:02.557062Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state_po</th>\n",
       "      <th>vote_percent_difference</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AK</td>\n",
       "      <td>0.100612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AL</td>\n",
       "      <td>0.254617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AR</td>\n",
       "      <td>0.276207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>AZ</td>\n",
       "      <td>-0.003087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>CA</td>\n",
       "      <td>-0.291632</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  state_po  vote_percent_difference\n",
       "0       AK                 0.100612\n",
       "2       AL                 0.254617\n",
       "4       AR                 0.276207\n",
       "6       AZ                -0.003087\n",
       "8       CA                -0.291632"
      ]
     },
     "execution_count": 193,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "state_vote_differ.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "id": "874103c5",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.565729Z",
     "start_time": "2025-02-22T00:37:02.563913Z"
    }
   },
   "outputs": [],
   "source": [
    "#state_vote_differ[state_vote_differ['state_po_o'] == 'WI']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "id": "a15aebd4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.569896Z",
     "start_time": "2025-02-22T00:37:02.567309Z"
    }
   },
   "outputs": [],
   "source": [
    "state_vote_differ.rename(columns = {'state_po' : 'state_po_o', 'vote_percent_difference':'vote_percent_difference_state_o'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "id": "fce3daf9",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.577328Z",
     "start_time": "2025-02-22T00:37:02.571524Z"
    }
   },
   "outputs": [],
   "source": [
    "plot_df_merge2 = pd.merge(plot_df_merge, state_vote_differ, on = 'state_po_o', how = 'left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "id": "3a581df8",
   "metadata": {
    "ExecuteTime": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GEOIDo_str_county</th>\n",
       "      <th>GEOIDd_str_county</th>\n",
       "      <th>trips</th>\n",
       "      <th>year</th>\n",
       "      <th>state_o</th>\n",
       "      <th>state_po_o</th>\n",
       "      <th>county_name_o</th>\n",
       "      <th>office</th>\n",
       "      <th>version</th>\n",
       "      <th>mode</th>\n",
       "      <th>...</th>\n",
       "      <th>White_o</th>\n",
       "      <th>Income_HH_Median_o</th>\n",
       "      <th>Bachelor_degree_o</th>\n",
       "      <th>Graduate_or_professional_degree_o</th>\n",
       "      <th>gender_ratio</th>\n",
       "      <th>white_ratio</th>\n",
       "      <th>education_ratio</th>\n",
       "      <th>population_rescale</th>\n",
       "      <th>income_rescale</th>\n",
       "      <th>vote_percent_difference_state_o</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <th>0</th>\n",
       "      <td>6001</td>\n",
       "      <td>6013</td>\n",
       "      <td>307500</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ALAMEDA</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>...</td>\n",
       "      <td>738232</td>\n",
       "      <td>104888</td>\n",
       "      <td>332539.0</td>\n",
       "      <td>243188.0</td>\n",
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       "      <td>0.346493</td>\n",
       "      <td>0.161554</td>\n",
       "      <td>0.707826</td>\n",
       "      <td>-0.291632</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6037</td>\n",
       "      <td>6059</td>\n",
       "      <td>2252844</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>LOS ANGELES</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>...</td>\n",
       "      <td>5431218</td>\n",
       "      <td>71358</td>\n",
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       "      <td>6059</td>\n",
       "      <td>6037</td>\n",
       "      <td>1360337</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>ORANGE</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>...</td>\n",
       "      <td>2023788</td>\n",
       "      <td>94441</td>\n",
       "      <td>575866.0</td>\n",
       "      <td>324541.0</td>\n",
       "      <td>0.493504</td>\n",
       "      <td>0.638349</td>\n",
       "      <td>0.284009</td>\n",
       "      <td>0.312527</td>\n",
       "      <td>0.590438</td>\n",
       "      <td>-0.291632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6065</td>\n",
       "      <td>6071</td>\n",
       "      <td>520733</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>RIVERSIDE</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>...</td>\n",
       "      <td>1528667</td>\n",
       "      <td>70732</td>\n",
       "      <td>236902.0</td>\n",
       "      <td>132238.0</td>\n",
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       "      <td>0.324029</td>\n",
       "      <td>-0.291632</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6067</td>\n",
       "      <td>6017</td>\n",
       "      <td>48039</td>\n",
       "      <td>2020</td>\n",
       "      <td>CALIFORNIA</td>\n",
       "      <td>CA</td>\n",
       "      <td>SACRAMENTO</td>\n",
       "      <td>US PRESIDENT</td>\n",
       "      <td>20220315</td>\n",
       "      <td>all</td>\n",
       "      <td>...</td>\n",
       "      <td>958106</td>\n",
       "      <td>70684</td>\n",
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       "<p>5 rows × 33 columns</p>\n",
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       "   GEOIDo_str_county  GEOIDd_str_county    trips  year     state_o state_po_o  \\\n",
       "0               6001               6013   307500  2020  CALIFORNIA         CA   \n",
       "1               6037               6059  2252844  2020  CALIFORNIA         CA   \n",
       "2               6059               6037  1360337  2020  CALIFORNIA         CA   \n",
       "3               6065               6071   520733  2020  CALIFORNIA         CA   \n",
       "4               6067               6017    48039  2020  CALIFORNIA         CA   \n",
       "\n",
       "  county_name_o        office   version mode  ...  White_o Income_HH_Median_o  \\\n",
       "0       ALAMEDA  US PRESIDENT  20220315  all  ...   738232             104888   \n",
       "1   LOS ANGELES  US PRESIDENT  20220315  all  ...  5431218              71358   \n",
       "2        ORANGE  US PRESIDENT  20220315  all  ...  2023788              94441   \n",
       "3     RIVERSIDE  US PRESIDENT  20220315  all  ...  1528667              70732   \n",
       "4    SACRAMENTO  US PRESIDENT  20220315  all  ...   958106              70684   \n",
       "\n",
       "  Bachelor_degree_o Graduate_or_professional_degree_o  gender_ratio  \\\n",
       "0          332539.0                          243188.0      0.491784   \n",
       "1         1506714.0                          810968.0      0.492951   \n",
       "2          575866.0                          324541.0      0.493504   \n",
       "3          236902.0                          132238.0      0.498483   \n",
       "4          214265.0                          113786.0      0.489027   \n",
       "\n",
       "  white_ratio education_ratio  population_rescale  income_rescale  \\\n",
       "0    0.444294        0.346493            0.161554        0.707826   \n",
       "1    0.540921        0.230829            1.000000        0.331064   \n",
       "2    0.638349        0.284009            0.312527        0.590438   \n",
       "3    0.627052        0.151419            0.239232        0.324029   \n",
       "4    0.622977        0.213304            0.149183        0.323490   \n",
       "\n",
       "  vote_percent_difference_state_o  \n",
       "0                       -0.291632  \n",
       "1                       -0.291632  \n",
       "2                       -0.291632  \n",
       "3                       -0.291632  \n",
       "4                       -0.291632  \n",
       "\n",
       "[5 rows x 33 columns]"
      ]
     },
     "execution_count": 197,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_df_merge2.head()"
   ]
  },
  {
   "cell_type": "code",
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   "id": "c8cb02fe",
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['GEOIDo_str_county', 'GEOIDd_str_county', 'trips', 'year', 'state_o',\n",
       "       'state_po_o', 'county_name_o', 'office', 'version', 'mode',\n",
       "       'vote_percent_difference_o', 'state_d', 'state_po_d', 'county_name_d',\n",
       "       'vote_percent_difference_d', 'vote_percent_difference_o_color',\n",
       "       'vote_percent_difference_d_color', 'pol_index',\n",
       "       'vote_percent_difference_o_abs', 'County', 'Population_o', 'Male_o',\n",
       "       'Female_o', 'White_o', 'Income_HH_Median_o', 'Bachelor_degree_o',\n",
       "       'Graduate_or_professional_degree_o', 'gender_ratio', 'white_ratio',\n",
       "       'education_ratio', 'population_rescale', 'income_rescale',\n",
       "       'vote_percent_difference_state_o'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 198,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_df_merge2.columns"
   ]
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  {
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   "id": "8205308a",
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     "start_time": "2025-02-22T00:37:02.598298Z"
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   },
   "outputs": [],
   "source": [
    "vote_percent_difference_o_abs = [abs(i) for i in plot_df_merge2['vote_percent_difference_o']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "id": "e3de4299",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.604319Z",
     "start_time": "2025-02-22T00:37:02.602158Z"
    }
   },
   "outputs": [],
   "source": [
    "plot_df_merge2['vote_percent_difference_o_abs'] = vote_percent_difference_o_abs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "762d0516",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "id": "461ac5ee",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.607635Z",
     "start_time": "2025-02-22T00:37:02.605580Z"
    }
   },
   "outputs": [],
   "source": [
    "reg = \"pol_index ~ vote_percent_difference_o+ vote_percent_difference_o_abs + population_rescale + income_rescale + gender_ratio + white_ratio + education_ratio + vote_percent_difference_state_o\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "id": "21f4433c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.630979Z",
     "start_time": "2025-02-22T00:37:02.609153Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Intel MKL WARNING: Support of Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) enabled only processors has been deprecated. Intel oneAPI Math Kernel Library 2025.0 will require Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.\n"
     ]
    }
   ],
   "source": [
    "# fit the model\n",
    "regOutput = smf.ols(reg, plot_df_merge2).fit()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "id": "88e27ea8",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-22T00:37:02.649162Z",
     "start_time": "2025-02-22T00:37:02.632519Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:              pol_index   R-squared:                       0.378\n",
      "Model:                            OLS   Adj. R-squared:                  0.310\n",
      "Method:                 Least Squares   F-statistic:                     5.614\n",
      "Date:                Fri, 21 Feb 2025   Prob (F-statistic):           1.45e-05\n",
      "Time:                        16:37:02   Log-Likelihood:                -88.176\n",
      "No. Observations:                  83   AIC:                             194.4\n",
      "Df Residuals:                      74   BIC:                             216.1\n",
      "Df Model:                           8                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "===================================================================================================\n",
      "                                      coef    std err          t      P>|t|      [0.025      0.975]\n",
      "---------------------------------------------------------------------------------------------------\n",
      "Intercept                         -14.3688      5.487     -2.619      0.011     -25.302      -3.435\n",
      "vote_percent_difference_o           1.1292      0.724      1.561      0.123      -0.312       2.571\n",
      "vote_percent_difference_o_abs       2.3033      0.577      3.992      0.000       1.154       3.453\n",
      "population_rescale                  0.2703      0.669      0.404      0.687      -1.062       1.603\n",
      "income_rescale                     -0.0864      0.962     -0.090      0.929      -2.002       1.830\n",
      "gender_ratio                       30.6724     11.671      2.628      0.010       7.417      53.928\n",
      "white_ratio                        -1.1298      1.050     -1.076      0.286      -3.223       0.963\n",
      "education_ratio                    -0.7335      2.737     -0.268      0.789      -6.186       4.719\n",
      "vote_percent_difference_state_o    -1.3117      0.615     -2.132      0.036      -2.538      -0.086\n",
      "==============================================================================\n",
      "Omnibus:                        9.863   Durbin-Watson:                   1.695\n",
      "Prob(Omnibus):                  0.007   Jarque-Bera (JB):                3.328\n",
      "Skew:                           0.045   Prob(JB):                        0.189\n",
      "Kurtosis:                       2.023   Cond. No.                         226.\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "print(regOutput.summary())"
   ]
  },
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